diff --git a/bf/29af79b268/0/content_hash.txt b/bf/29af79b268/0/content_hash.txt new file mode 100644 index 00000000..375e560c --- /dev/null +++ b/bf/29af79b268/0/content_hash.txt @@ -0,0 +1 @@ +sha256:b184f713fed8a0efc8240d19849de07ab8e1009e71da3ce0891e3f282cf69adb \ No newline at end of file diff --git a/bf/29af79b268/0/context.md b/bf/29af79b268/0/context.md new file mode 100644 index 00000000..fab3958e --- /dev/null +++ b/bf/29af79b268/0/context.md @@ -0,0 +1,34 @@ +# Session Context + +## User Prompts + +### Prompt 1 + +Implement the following plan: + +# Fix: Memory Escalation in flattenCheckpointFile (68GB+) + +## Context + +Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally. + +## Root Cause + +Two-layer unbounde... + +### Prompt 2 + +Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention? + +### Prompt 3 + +[Request interrupted by user for tool use] + +### Prompt 4 + +Compare the archive writer implementation with @~/tmp/cc-backend/pkg/metricstore/parquetArchive.go . Compare and explain differences. + +### Prompt 5 + +Add an Info logmessage in archiveCheckpoints that archving started and provide timing information how long it took. + diff --git a/bf/29af79b268/0/full.jsonl b/bf/29af79b268/0/full.jsonl new file mode 100644 index 00000000..7bc88608 --- /dev/null +++ b/bf/29af79b268/0/full.jsonl @@ -0,0 +1,168 @@ +{"type":"file-history-snapshot","messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","snapshot":{"messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","trackedFileBackups":{},"timestamp":"2026-03-17T18:14:06.692Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"d78d8e9c-5382-4185-9219-683f79dd3065","toolUseID":"d78d8e9c-5382-4185-9219-683f79dd3065","timestamp":"2026-03-17T18:14:06.646Z","uuid":"1ccea021-492e-4f7f-8ce8-eb5cd2377954","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"1ccea021-492e-4f7f-8ce8-eb5cd2377954","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n writer *pq.GenericWriter[ParquetMetricRow]\n bw *bufio.Writer\n f *os.File\n count int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/71340843-de3d-4e83-9dcb-2fc130c50e0d.jsonl"},"uuid":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","timestamp":"2026-03-17T18:14:06.473Z","planContent":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n writer *pq.GenericWriter[ParquetMetricRow]\n bw *bufio.Writer\n f *os.File\n count int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AyF6Jg771Hu8xTwZKEMzV6","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me start by reading the relevant files to understand the current implementation."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":12307,"cache_read_input_tokens":6489,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12307},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ979w6ddKngVT3C7ef14","type":"assistant","uuid":"a1ffff0a-75c8-4ed4-affd-9f599af2f79f","timestamp":"2026-03-17T18:14:09.794Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"a1ffff0a-75c8-4ed4-affd-9f599af2f79f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AyF6Jg771Hu8xTwZKEMzV6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JW7rVTjQ4z7YAw3jsNrSDY","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":12307,"cache_read_input_tokens":6489,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12307},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ979w6ddKngVT3C7ef14","type":"assistant","uuid":"8c2533e3-d964-4a82-9cba-cec560086bc5","timestamp":"2026-03-17T18:14:10.752Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"8c2533e3-d964-4a82-9cba-cec560086bc5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AyF6Jg771Hu8xTwZKEMzV6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":12307,"cache_read_input_tokens":6489,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":12307},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ979w6ddKngVT3C7ef14","type":"assistant","uuid":"4704a1bc-5253-41ee-b057-59f5c34430a8","timestamp":"2026-03-17T18:14:10.766Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"4704a1bc-5253-41ee-b057-59f5c34430a8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JW7rVTjQ4z7YAw3jsNrSDY","toolUseID":"toolu_01JW7rVTjQ4z7YAw3jsNrSDY","timestamp":"2026-03-17T18:14:10.794Z","uuid":"556b02fa-39c3-4e63-b1ea-f8b1feb78977","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"8c2533e3-d964-4a82-9cba-cec560086bc5","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JW7rVTjQ4z7YAw3jsNrSDY","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"bufio\"\n 10→\t\"encoding/binary\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"os\"\n 14→\t\"path/filepath\"\n 15→\n 16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 17→\tpq \"github.com/parquet-go/parquet-go\"\n 18→)\n 19→\n 20→// ParquetMetricRow is the long-format schema for archived metric data.\n 21→// One row per (host, metric, scope, scope_id, timestamp) data point.\n 22→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n 23→type ParquetMetricRow struct {\n 24→\tCluster string `parquet:\"cluster\"`\n 25→\tHostname string `parquet:\"hostname\"`\n 26→\tMetric string `parquet:\"metric\"`\n 27→\tScope string `parquet:\"scope\"`\n 28→\tScopeID string `parquet:\"scope_id\"`\n 29→\tTimestamp int64 `parquet:\"timestamp\"`\n 30→\tFrequency int64 `parquet:\"frequency\"`\n 31→\tValue float32 `parquet:\"value\"`\n 32→}\n 33→\n 34→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n 35→// The scope path is built from the hierarchy: host level is \"node\", then child names\n 36→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n 37→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n 38→\tfor metricName, cm := range cf.Metrics {\n 39→\t\tts := cm.Start\n 40→\t\tfor _, v := range cm.Data {\n 41→\t\t\tif !v.IsNaN() {\n 42→\t\t\t\trows = append(rows, ParquetMetricRow{\n 43→\t\t\t\t\tCluster: cluster,\n 44→\t\t\t\t\tHostname: hostname,\n 45→\t\t\t\t\tMetric: metricName,\n 46→\t\t\t\t\tScope: scope,\n 47→\t\t\t\t\tScopeID: scopeID,\n 48→\t\t\t\t\tTimestamp: ts,\n 49→\t\t\t\t\tFrequency: cm.Frequency,\n 50→\t\t\t\t\tValue: float32(v),\n 51→\t\t\t\t})\n 52→\t\t\t}\n 53→\t\t\tts += cm.Frequency\n 54→\t\t}\n 55→\t}\n 56→\n 57→\tfor childName, childCf := range cf.Children {\n 58→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n 59→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n 60→\t}\n 61→\n 62→\treturn rows\n 63→}\n 64→\n 65→// parseScopeFromName infers scope and scope_id from a child level name.\n 66→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n 67→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n 68→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n 69→func parseScopeFromName(name string) (string, string) {\n 70→\tprefixes := []struct {\n 71→\t\tprefix string\n 72→\t\tscope string\n 73→\t}{\n 74→\t\t{\"socket\", \"socket\"},\n 75→\t\t{\"memoryDomain\", \"memoryDomain\"},\n 76→\t\t{\"core\", \"core\"},\n 77→\t\t{\"hwthread\", \"hwthread\"},\n 78→\t\t{\"cpu\", \"hwthread\"},\n 79→\t\t{\"accelerator\", \"accelerator\"},\n 80→\t}\n 81→\n 82→\tfor _, p := range prefixes {\n 83→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n 84→\t\t\tid := name[len(p.prefix):]\n 85→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n 86→\t\t\t\treturn p.scope, id\n 87→\t\t\t}\n 88→\t\t}\n 89→\t}\n 90→\n 91→\treturn name, \"\"\n 92→}\n 93→\n 94→// writeParquetArchive writes rows to a Parquet file with Zstd compression.\n 95→func writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n 96→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n 97→\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n 98→\t}\n 99→\n 100→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 101→\tif err != nil {\n 102→\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n 103→\t}\n 104→\tdefer f.Close()\n 105→\n 106→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n 107→\n 108→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n 109→\t\tpq.Compression(&pq.Zstd),\n 110→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n 111→\t\t\tpq.Ascending(\"cluster\"),\n 112→\t\t\tpq.Ascending(\"hostname\"),\n 113→\t\t\tpq.Ascending(\"metric\"),\n 114→\t\t\tpq.Ascending(\"timestamp\"),\n 115→\t\t)),\n 116→\t)\n 117→\n 118→\tif _, err := writer.Write(rows); err != nil {\n 119→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n 120→\t}\n 121→\n 122→\tif err := writer.Close(); err != nil {\n 123→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n 124→\t}\n 125→\n 126→\tif err := bw.Flush(); err != nil {\n 127→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n 128→\t}\n 129→\n 130→\treturn nil\n 131→}\n 132→\n 133→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n 134→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n 135→// before converting it to Parquet format.\n 136→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n 137→\tf, err := os.Open(filename)\n 138→\tif err != nil {\n 139→\t\treturn nil, err\n 140→\t}\n 141→\tdefer f.Close()\n 142→\n 143→\text := filepath.Ext(filename)\n 144→\tswitch ext {\n 145→\tcase \".json\":\n 146→\t\tcf := &CheckpointFile{}\n 147→\t\tbr := bufio.NewReader(f)\n 148→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 149→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n 150→\t\t}\n 151→\t\treturn cf, nil\n 152→\n 153→\tcase \".bin\":\n 154→\t\tbr := bufio.NewReader(f)\n 155→\t\tvar magic uint32\n 156→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n 157→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n 158→\t\t}\n 159→\t\tif magic != snapFileMagic {\n 160→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n 161→\t\t}\n 162→\t\tvar fileFrom, fileTo int64\n 163→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n 164→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n 165→\t\t}\n 166→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n 167→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n 168→\t\t}\n 169→\t\tcf, err := readBinaryLevel(br)\n 170→\t\tif err != nil {\n 171→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n 172→\t\t}\n 173→\t\tcf.From = fileFrom\n 174→\t\tcf.To = fileTo\n 175→\t\treturn cf, nil\n 176→\n 177→\tdefault:\n 178→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n 179→\t}\n 180→}\n 181→\n 182→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n 183→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n 184→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n 185→\tentries, err := os.ReadDir(dir)\n 186→\tif err != nil {\n 187→\t\treturn nil, nil, err\n 188→\t}\n 189→\n 190→\tfiles, err := findFiles(entries, from, false)\n 191→\tif err != nil {\n 192→\t\treturn nil, nil, err\n 193→\t}\n 194→\n 195→\tif len(files) == 0 {\n 196→\t\treturn nil, nil, nil\n 197→\t}\n 198→\n 199→\tvar rows []ParquetMetricRow\n 200→\n 201→\tfor _, checkpoint := range files {\n 202→\t\tfilename := filepath.Join(dir, checkpoint)\n 203→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n 204→\t\tif err != nil {\n 205→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n 206→\t\t\tcontinue\n 207→\t\t}\n 208→\n 209→\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n 210→\t}\n 211→\n 212→\treturn rows, files, nil\n 213→}\n 214→"}]},"uuid":"7b2d9ff8-b786-4c43-aceb-98f92f903d5c","timestamp":"2026-03-17T18:14:10.793Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster string `parquet:\"cluster\"`\n\tHostname string `parquet:\"hostname\"`\n\tMetric string `parquet:\"metric\"`\n\tScope string `parquet:\"scope\"`\n\tScopeID string `parquet:\"scope_id\"`\n\tTimestamp int64 `parquet:\"timestamp\"`\n\tFrequency int64 `parquet:\"frequency\"`\n\tValue float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster: cluster,\n\t\t\t\t\tHostname: hostname,\n\t\t\t\t\tMetric: metricName,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tScopeID: scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue: float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"8c2533e3-d964-4a82-9cba-cec560086bc5","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"7b2d9ff8-b786-4c43-aceb-98f92f903d5c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","toolUseID":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","timestamp":"2026-03-17T18:14:10.792Z","uuid":"237be391-9ce8-4868-88ec-2ffeaa23653f","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"4704a1bc-5253-41ee-b057-59f5c34430a8","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TTkqqEZu8i9v4aSq57ZyF8","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"sync\"\n 15→\t\"sync/atomic\"\n 16→\t\"time\"\n 17→\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→)\n 20→\n 21→// Worker for either Archiving or Deleting files\n 22→\n 23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n 24→\tif Keys.Cleanup.Mode == \"archive\" {\n 25→\t\t// Run as Archiver\n 26→\t\tcleanUpWorker(wg, ctx,\n 27→\t\t\tKeys.RetentionInMemory,\n 28→\t\t\t\"archiving\",\n 29→\t\t\tKeys.Cleanup.RootDir,\n 30→\t\t\tfalse,\n 31→\t\t)\n 32→\t} else {\n 33→\t\t// Run as Deleter\n 34→\t\tcleanUpWorker(wg, ctx,\n 35→\t\t\tKeys.RetentionInMemory,\n 36→\t\t\t\"deleting\",\n 37→\t\t\t\"\",\n 38→\t\t\ttrue,\n 39→\t\t)\n 40→\t}\n 41→}\n 42→\n 43→// cleanUpWorker takes simple values to configure what it does\n 44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n 45→\twg.Go(func() {\n 46→\n 47→\t\td, err := time.ParseDuration(interval)\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n 50→\t\t}\n 51→\t\tif d <= 0 {\n 52→\t\t\treturn\n 53→\t\t}\n 54→\n 55→\t\tticker := time.NewTicker(d)\n 56→\t\tdefer ticker.Stop()\n 57→\n 58→\t\tfor {\n 59→\t\t\tselect {\n 60→\t\t\tcase <-ctx.Done():\n 61→\t\t\t\treturn\n 62→\t\t\tcase <-ticker.C:\n 63→\t\t\t\tt := time.Now().Add(-d)\n 64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n 65→\n 66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n 67→\n 68→\t\t\t\tif err != nil {\n 69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n 70→\t\t\t\t} else {\n 71→\t\t\t\t\tif delete {\n 72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n 73→\t\t\t\t\t} else {\n 74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n 75→\t\t\t\t\t}\n 76→\t\t\t\t}\n 77→\t\t\t}\n 78→\t\t}\n 79→\t})\n 80→}\n 81→\n 82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n 83→\n 84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n 85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n 86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n 87→\tif deleteInstead {\n 88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n 89→\t}\n 90→\n 91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n 92→}\n 93→\n 94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n 95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n 96→\tentries1, err := os.ReadDir(checkpointsDir)\n 97→\tif err != nil {\n 98→\t\treturn 0, err\n 99→\t}\n 100→\n 101→\ttype workItem struct {\n 102→\t\tdir string\n 103→\t\tcluster, host string\n 104→\t}\n 105→\n 106→\tvar wg sync.WaitGroup\n 107→\tn, errs := int32(0), int32(0)\n 108→\twork := make(chan workItem, Keys.NumWorkers)\n 109→\n 110→\twg.Add(Keys.NumWorkers)\n 111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 112→\t\tgo func() {\n 113→\t\t\tdefer wg.Done()\n 114→\t\t\tfor item := range work {\n 115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n 116→\t\t\t\tif err != nil {\n 117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n 118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 119→\t\t\t\t\tcontinue\n 120→\t\t\t\t}\n 121→\n 122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n 123→\t\t\t\tif err != nil {\n 124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n 125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 126→\t\t\t\t\tcontinue\n 127→\t\t\t\t}\n 128→\n 129→\t\t\t\tfor _, checkpoint := range files {\n 130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n 131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n 132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 133→\t\t\t\t\t} else {\n 134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n 135→\t\t\t\t\t}\n 136→\t\t\t\t}\n 137→\t\t\t}\n 138→\t\t}()\n 139→\t}\n 140→\n 141→\tfor _, de1 := range entries1 {\n 142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n 143→\t\tif e != nil {\n 144→\t\t\terr = e\n 145→\t\t\tcontinue\n 146→\t\t}\n 147→\n 148→\t\tfor _, de2 := range entries2 {\n 149→\t\t\twork <- workItem{\n 150→\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n 151→\t\t\t\tcluster: de1.Name(),\n 152→\t\t\t\thost: de2.Name(),\n 153→\t\t\t}\n 154→\t\t}\n 155→\t}\n 156→\n 157→\tclose(work)\n 158→\twg.Wait()\n 159→\n 160→\tif err != nil {\n 161→\t\treturn int(n), err\n 162→\t}\n 163→\tif errs > 0 {\n 164→\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n 165→\t}\n 166→\treturn int(n), nil\n 167→}\n 168→\n 169→// archiveCheckpoints archives checkpoint files to Parquet format.\n 170→// Produces one Parquet file per cluster: //.parquet\n 171→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n 172→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n 173→\tif err != nil {\n 174→\t\treturn 0, err\n 175→\t}\n 176→\n 177→\ttotalFiles := 0\n 178→\n 179→\tfor _, clusterEntry := range clusterEntries {\n 180→\t\tif !clusterEntry.IsDir() {\n 181→\t\t\tcontinue\n 182→\t\t}\n 183→\n 184→\t\tcluster := clusterEntry.Name()\n 185→\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n 186→\t\tif err != nil {\n 187→\t\t\treturn totalFiles, err\n 188→\t\t}\n 189→\n 190→\t\t// Collect rows from all hosts in this cluster using worker pool\n 191→\t\ttype hostResult struct {\n 192→\t\t\trows []ParquetMetricRow\n 193→\t\t\tfiles []string // checkpoint filenames to delete after successful write\n 194→\t\t\tdir string // checkpoint directory for this host\n 195→\t\t}\n 196→\n 197→\t\tresults := make(chan hostResult, len(hostEntries))\n 198→\t\twork := make(chan struct {\n 199→\t\t\tdir, host string\n 200→\t\t}, Keys.NumWorkers)\n 201→\n 202→\t\tvar wg sync.WaitGroup\n 203→\t\terrs := int32(0)\n 204→\n 205→\t\twg.Add(Keys.NumWorkers)\n 206→\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n 207→\t\t\tgo func() {\n 208→\t\t\t\tdefer wg.Done()\n 209→\t\t\t\tfor item := range work {\n 210→\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n 211→\t\t\t\t\tif err != nil {\n 212→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n 213→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 214→\t\t\t\t\t\tcontinue\n 215→\t\t\t\t\t}\n 216→\t\t\t\t\tif len(rows) > 0 {\n 217→\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n 218→\t\t\t\t\t}\n 219→\t\t\t\t}\n 220→\t\t\t}()\n 221→\t\t}\n 222→\n 223→\t\tgo func() {\n 224→\t\t\tfor _, hostEntry := range hostEntries {\n 225→\t\t\t\tif !hostEntry.IsDir() {\n 226→\t\t\t\t\tcontinue\n 227→\t\t\t\t}\n 228→\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n 229→\t\t\t\twork <- struct {\n 230→\t\t\t\t\tdir, host string\n 231→\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n 232→\t\t\t}\n 233→\t\t\tclose(work)\n 234→\t\t\twg.Wait()\n 235→\t\t\tclose(results)\n 236→\t\t}()\n 237→\n 238→\t\t// Collect all rows and file info\n 239→\t\tvar allRows []ParquetMetricRow\n 240→\t\tvar allResults []hostResult\n 241→\t\tfor r := range results {\n 242→\t\t\tallRows = append(allRows, r.rows...)\n 243→\t\t\tallResults = append(allResults, r)\n 244→\t\t}\n 245→\n 246→\t\tif errs > 0 {\n 247→\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n 248→\t\t}\n 249→\n 250→\t\tif len(allRows) == 0 {\n 251→\t\t\tcontinue\n 252→\t\t}\n 253→\n 254→\t\t// Write one Parquet file per cluster\n 255→\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n 256→\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n 257→\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n 258→\t\t}\n 259→\n 260→\t\t// Delete archived checkpoint files\n 261→\t\tfor _, result := range allResults {\n 262→\t\t\tfor _, file := range result.files {\n 263→\t\t\t\tfilename := filepath.Join(result.dir, file)\n 264→\t\t\t\tif err := os.Remove(filename); err != nil {\n 265→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n 266→\t\t\t\t} else {\n 267→\t\t\t\t\ttotalFiles++\n 268→\t\t\t\t}\n 269→\t\t\t}\n 270→\t\t}\n 271→\n 272→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n 273→\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n 274→\t}\n 275→\n 276→\treturn totalFiles, nil\n 277→}\n 278→"}]},"uuid":"5c641ce2-75b5-4d5f-8b5c-fd0a8d05eefe","timestamp":"2026-03-17T18:14:10.792Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir string\n\t\tcluster, host string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost: de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir string // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","numLines":278,"startLine":1,"totalLines":278}},"sourceToolAssistantUUID":"4704a1bc-5253-41ee-b057-59f5c34430a8","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"5c641ce2-75b5-4d5f-8b5c-fd0a8d05eefe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AyF6Jg771Hu8xTwZKEMzV6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AdHt5nZpLoZxxyDJ4BAorq","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive_test.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":12307,"cache_read_input_tokens":6489,"output_tokens":217,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":12307,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ979w6ddKngVT3C7ef14","type":"assistant","uuid":"530dbdcc-8f1e-4870-a1c5-88215ce6a729","timestamp":"2026-03-17T18:14:11.260Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"530dbdcc-8f1e-4870-a1c5-88215ce6a729","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01AdHt5nZpLoZxxyDJ4BAorq","toolUseID":"toolu_01AdHt5nZpLoZxxyDJ4BAorq","timestamp":"2026-03-17T18:14:11.268Z","uuid":"8322fb34-a1bc-4c64-9bf6-d1da833699e0","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"530dbdcc-8f1e-4870-a1c5-88215ce6a729","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AdHt5nZpLoZxxyDJ4BAorq","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"os\"\n 11→\t\"path/filepath\"\n 12→\t\"testing\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 15→\tpq \"github.com/parquet-go/parquet-go\"\n 16→)\n 17→\n 18→func TestParseScopeFromName(t *testing.T) {\n 19→\ttests := []struct {\n 20→\t\tname string\n 21→\t\twantScope string\n 22→\t\twantID string\n 23→\t}{\n 24→\t\t{\"socket0\", \"socket\", \"0\"},\n 25→\t\t{\"socket12\", \"socket\", \"12\"},\n 26→\t\t{\"core0\", \"core\", \"0\"},\n 27→\t\t{\"core127\", \"core\", \"127\"},\n 28→\t\t{\"cpu0\", \"hwthread\", \"0\"},\n 29→\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n 30→\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n 31→\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n 32→\t\t{\"unknown\", \"unknown\", \"\"},\n 33→\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n 34→\t}\n 35→\n 36→\tfor _, tt := range tests {\n 37→\t\tt.Run(tt.name, func(t *testing.T) {\n 38→\t\t\tscope, id := parseScopeFromName(tt.name)\n 39→\t\t\tif scope != tt.wantScope || id != tt.wantID {\n 40→\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n 41→\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n 42→\t\t\t}\n 43→\t\t})\n 44→\t}\n 45→}\n 46→\n 47→func TestFlattenCheckpointFile(t *testing.T) {\n 48→\tcf := &CheckpointFile{\n 49→\t\tFrom: 1000,\n 50→\t\tTo: 1060,\n 51→\t\tMetrics: map[string]*CheckpointMetrics{\n 52→\t\t\t\"cpu_load\": {\n 53→\t\t\t\tFrequency: 60,\n 54→\t\t\t\tStart: 1000,\n 55→\t\t\t\tData: []schema.Float{0.5, 0.7, schema.NaN},\n 56→\t\t\t},\n 57→\t\t},\n 58→\t\tChildren: map[string]*CheckpointFile{\n 59→\t\t\t\"socket0\": {\n 60→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n 61→\t\t\t\t\t\"mem_bw\": {\n 62→\t\t\t\t\t\tFrequency: 60,\n 63→\t\t\t\t\t\tStart: 1000,\n 64→\t\t\t\t\t\tData: []schema.Float{100.0, schema.NaN, 200.0},\n 65→\t\t\t\t\t},\n 66→\t\t\t\t},\n 67→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n 68→\t\t\t},\n 69→\t\t},\n 70→\t}\n 71→\n 72→\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n 73→\n 74→\t// cpu_load: 2 non-NaN values at node scope\n 75→\t// mem_bw: 2 non-NaN values at socket0 scope\n 76→\tif len(rows) != 4 {\n 77→\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n 78→\t}\n 79→\n 80→\t// Verify a node-scope row\n 81→\tfound := false\n 82→\tfor _, r := range rows {\n 83→\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n 84→\t\t\tfound = true\n 85→\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n 86→\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n 87→\t\t\t}\n 88→\t\t}\n 89→\t}\n 90→\tif !found {\n 91→\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n 92→\t}\n 93→\n 94→\t// Verify a socket-scope row\n 95→\tfound = false\n 96→\tfor _, r := range rows {\n 97→\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n 98→\t\t\tfound = true\n 99→\t\t}\n 100→\t}\n 101→\tif !found {\n 102→\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n 103→\t}\n 104→}\n 105→\n 106→func TestParquetArchiveRoundtrip(t *testing.T) {\n 107→\ttmpDir := t.TempDir()\n 108→\n 109→\t// Create checkpoint files on disk (JSON format)\n 110→\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n 111→\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n 112→\t\tt.Fatal(err)\n 113→\t}\n 114→\n 115→\tcf := &CheckpointFile{\n 116→\t\tFrom: 1000,\n 117→\t\tTo: 1180,\n 118→\t\tMetrics: map[string]*CheckpointMetrics{\n 119→\t\t\t\"cpu_load\": {\n 120→\t\t\t\tFrequency: 60,\n 121→\t\t\t\tStart: 1000,\n 122→\t\t\t\tData: []schema.Float{0.5, 0.7, 0.9},\n 123→\t\t\t},\n 124→\t\t\t\"mem_used\": {\n 125→\t\t\t\tFrequency: 60,\n 126→\t\t\t\tStart: 1000,\n 127→\t\t\t\tData: []schema.Float{45.0, 46.0, 47.0},\n 128→\t\t\t},\n 129→\t\t},\n 130→\t\tChildren: map[string]*CheckpointFile{\n 131→\t\t\t\"socket0\": {\n 132→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n 133→\t\t\t\t\t\"mem_bw\": {\n 134→\t\t\t\t\t\tFrequency: 60,\n 135→\t\t\t\t\t\tStart: 1000,\n 136→\t\t\t\t\t\tData: []schema.Float{100.0, 110.0, 120.0},\n 137→\t\t\t\t\t},\n 138→\t\t\t\t},\n 139→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n 140→\t\t\t},\n 141→\t\t},\n 142→\t}\n 143→\n 144→\t// Write JSON checkpoint\n 145→\tcpFile := filepath.Join(cpDir, \"1000.json\")\n 146→\tdata, err := json.Marshal(cf)\n 147→\tif err != nil {\n 148→\t\tt.Fatal(err)\n 149→\t}\n 150→\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n 151→\t\tt.Fatal(err)\n 152→\t}\n 153→\n 154→\t// Archive to Parquet\n 155→\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n 156→\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n 157→\tif err != nil {\n 158→\t\tt.Fatal(err)\n 159→\t}\n 160→\tif len(files) != 1 || files[0] != \"1000.json\" {\n 161→\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n 162→\t}\n 163→\n 164→\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n 165→\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n 166→\t\tt.Fatal(err)\n 167→\t}\n 168→\n 169→\t// Read back and verify\n 170→\tf, err := os.Open(parquetFile)\n 171→\tif err != nil {\n 172→\t\tt.Fatal(err)\n 173→\t}\n 174→\tdefer f.Close()\n 175→\n 176→\tstat, _ := f.Stat()\n 177→\tpf, err := pq.OpenFile(f, stat.Size())\n 178→\tif err != nil {\n 179→\t\tt.Fatal(err)\n 180→\t}\n 181→\n 182→\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n 183→\treadRows := make([]ParquetMetricRow, 100)\n 184→\tn, err := reader.Read(readRows)\n 185→\tif err != nil && n == 0 {\n 186→\t\tt.Fatal(err)\n 187→\t}\n 188→\treadRows = readRows[:n]\n 189→\treader.Close()\n 190→\n 191→\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n 192→\tif n != 9 {\n 193→\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n 194→\t}\n 195→\n 196→\t// Verify cluster and hostname are set correctly\n 197→\tfor _, r := range readRows {\n 198→\t\tif r.Cluster != \"testcluster\" {\n 199→\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n 200→\t\t}\n 201→\t\tif r.Hostname != \"node001\" {\n 202→\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n 203→\t\t}\n 204→\t}\n 205→\n 206→\t// Verify parquet file is smaller than JSON (compression working)\n 207→\tif stat.Size() == 0 {\n 208→\t\tt.Error(\"parquet file is empty\")\n 209→\t}\n 210→\n 211→\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n 212→}\n 213→\n 214→func TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n 215→\ttmpDir := t.TempDir()\n 216→\n 217→\tcf := &CheckpointFile{\n 218→\t\tFrom: 1000,\n 219→\t\tTo: 1060,\n 220→\t\tMetrics: map[string]*CheckpointMetrics{\n 221→\t\t\t\"test_metric\": {\n 222→\t\t\t\tFrequency: 60,\n 223→\t\t\t\tStart: 1000,\n 224→\t\t\t\tData: []schema.Float{1.0, 2.0, 3.0},\n 225→\t\t\t},\n 226→\t\t},\n 227→\t\tChildren: make(map[string]*CheckpointFile),\n 228→\t}\n 229→\n 230→\tfilename := filepath.Join(tmpDir, \"1000.json\")\n 231→\tdata, err := json.Marshal(cf)\n 232→\tif err != nil {\n 233→\t\tt.Fatal(err)\n 234→\t}\n 235→\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n 236→\t\tt.Fatal(err)\n 237→\t}\n 238→\n 239→\tloaded, err := loadCheckpointFileFromDisk(filename)\n 240→\tif err != nil {\n 241→\t\tt.Fatal(err)\n 242→\t}\n 243→\n 244→\tif loaded.From != 1000 || loaded.To != 1060 {\n 245→\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n 246→\t}\n 247→\n 248→\tm, ok := loaded.Metrics[\"test_metric\"]\n 249→\tif !ok {\n 250→\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n 251→\t}\n 252→\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n 253→\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n 254→\t}\n 255→}\n 256→"}]},"uuid":"4a0aef1c-e87c-4f66-9d2e-f9bec302737c","timestamp":"2026-03-17T18:14:11.268Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname string\n\t\twantScope string\n\t\twantID string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo: 1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart: 1000,\n\t\t\t\tData: []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart: 1000,\n\t\t\t\t\t\tData: []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo: 1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart: 1000,\n\t\t\t\tData: []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart: 1000,\n\t\t\t\tData: []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart: 1000,\n\t\t\t\t\t\tData: []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo: 1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart: 1000,\n\t\t\t\tData: []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","numLines":256,"startLine":1,"totalLines":256}},"sourceToolAssistantUUID":"530dbdcc-8f1e-4870-a1c5-88215ce6a729","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"4a0aef1c-e87c-4f66-9d2e-f9bec302737c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RMdmF6xH1mm2DpsrqgJrgu","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10208,"cache_read_input_tokens":18796,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10208},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97AGSxvMsprpByJkyy2","type":"assistant","uuid":"c275b193-e533-456b-9230-e0ee1ea0fa1c","timestamp":"2026-03-17T18:14:17.287Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"c275b193-e533-456b-9230-e0ee1ea0fa1c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RMdmF6xH1mm2DpsrqgJrgu","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Let me implement the changes.\n\n**Step 1: Update `parquetArchive.go`** - Add streaming writer, remove old `writeParquetArchive`"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10208,"cache_read_input_tokens":18796,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10208},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97AGSxvMsprpByJkyy2","type":"assistant","uuid":"98760d2a-e3cc-42e4-8777-b0c8be9375ea","timestamp":"2026-03-17T18:14:18.228Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"98760d2a-e3cc-42e4-8777-b0c8be9375ea","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RMdmF6xH1mm2DpsrqgJrgu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KEEBSH5oTDBJaFVzJj24Fp","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","old_string":"import (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)","new_string":"import (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10208,"cache_read_input_tokens":18796,"output_tokens":451,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":10208,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97AGSxvMsprpByJkyy2","type":"assistant","uuid":"66271b96-1bbf-4446-bc30-dc4fe8513046","timestamp":"2026-03-17T18:14:21.248Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"type":"file-history-snapshot","messageId":"66271b96-1bbf-4446-bc30-dc4fe8513046","snapshot":{"messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","trackedFileBackups":{"pkg/metricstore/parquetArchive.go":{"backupFileName":"d23fbf0a668003f6@v1","version":1,"backupTime":"2026-03-17T18:14:21.260Z"}},"timestamp":"2026-03-17T18:14:06.692Z"},"isSnapshotUpdate":true} +{"parentUuid":"66271b96-1bbf-4446-bc30-dc4fe8513046","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KEEBSH5oTDBJaFVzJj24Fp","toolUseID":"toolu_01KEEBSH5oTDBJaFVzJj24Fp","timestamp":"2026-03-17T18:14:21.265Z","uuid":"09594ac0-e3fc-447a-9275-22f0b78a5c8e","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"66271b96-1bbf-4446-bc30-dc4fe8513046","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KEEBSH5oTDBJaFVzJj24Fp","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go has been updated successfully."}]},"uuid":"8ea10542-c017-448f-9afb-91498f3807c8","timestamp":"2026-03-17T18:14:21.265Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","oldString":"import (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)","newString":"import (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster string `parquet:\"cluster\"`\n\tHostname string `parquet:\"hostname\"`\n\tMetric string `parquet:\"metric\"`\n\tScope string `parquet:\"scope\"`\n\tScopeID string `parquet:\"scope_id\"`\n\tTimestamp int64 `parquet:\"timestamp\"`\n\tFrequency int64 `parquet:\"frequency\"`\n\tValue float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster: cluster,\n\t\t\t\t\tHostname: hostname,\n\t\t\t\t\tMetric: metricName,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tScopeID: scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue: float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":12,"oldLines":6,"newStart":12,"newLines":7,"lines":[" \"fmt\""," \"os\""," \"path/filepath\"","+ \"sort\""," "," cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""," pq \"github.com/parquet-go/parquet-go\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"66271b96-1bbf-4446-bc30-dc4fe8513046","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"8ea10542-c017-448f-9afb-91498f3807c8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DPuC6qZGeRor7sj16J9WjX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LEFj1LSgwARFjJfDqJypBn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","old_string":"// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}","new_string":"// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw *bufio.Writer\n\tf *os.File\n\tcount int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":513,"cache_read_input_tokens":29004,"output_tokens":1391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":513,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97B37JmQrRhr5sZtBP6","type":"assistant","uuid":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","timestamp":"2026-03-17T18:14:38.960Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01LEFj1LSgwARFjJfDqJypBn","toolUseID":"toolu_01LEFj1LSgwARFjJfDqJypBn","timestamp":"2026-03-17T18:14:38.985Z","uuid":"8b963d1b-e603-4942-94ac-6c51f42730f2","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LEFj1LSgwARFjJfDqJypBn","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go has been updated successfully."}]},"uuid":"36701fa4-3179-4da4-89fa-9bfce3b3f37d","timestamp":"2026-03-17T18:14:38.984Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","oldString":"// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}","newString":"// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw *bufio.Writer\n\tf *os.File\n\tcount int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster string `parquet:\"cluster\"`\n\tHostname string `parquet:\"hostname\"`\n\tMetric string `parquet:\"metric\"`\n\tScope string `parquet:\"scope\"`\n\tScopeID string `parquet:\"scope_id\"`\n\tTimestamp int64 `parquet:\"timestamp\"`\n\tFrequency int64 `parquet:\"frequency\"`\n\tValue float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster: cluster,\n\t\t\t\t\tHostname: hostname,\n\t\t\t\t\tMetric: metricName,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tScopeID: scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue: float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchive writes rows to a Parquet file with Zstd compression.\nfunc writeParquetArchive(filename string, rows []ParquetMetricRow) error {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":92,"oldLines":45,"newStart":92,"newLines":83,"lines":[" return name, \"\""," }"," ","-// writeParquetArchive writes rows to a Parquet file with Zstd compression.","-func writeParquetArchive(filename string, rows []ParquetMetricRow) error {","+// parquetArchiveWriter supports incremental writes to a Parquet file.","+// Each call to WriteHostRows writes one row group (typically one host's data),","+// avoiding accumulation of all rows in memory.","+type parquetArchiveWriter struct {","+ writer *pq.GenericWriter[ParquetMetricRow]","+ bw *bufio.Writer","+ f *os.File","+ count int","+}","+","+// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.","+func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {"," if err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {","- return fmt.Errorf(\"creating archive directory: %w\", err)","+ return nil, fmt.Errorf(\"creating archive directory: %w\", err)"," }"," "," f, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)"," if err != nil {","- return fmt.Errorf(\"creating parquet file: %w\", err)","+ return nil, fmt.Errorf(\"creating parquet file: %w\", err)"," }","- defer f.Close()"," "," bw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer"," "," writer := pq.NewGenericWriter[ParquetMetricRow](bw,"," pq.Compression(&pq.Zstd),","- pq.SortingWriterConfig(pq.SortingColumns(","- pq.Ascending(\"cluster\"),","- pq.Ascending(\"hostname\"),","- pq.Ascending(\"metric\"),","- pq.Ascending(\"timestamp\"),","- )),"," )"," ","- if _, err := writer.Write(rows); err != nil {","+ return &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil","+}","+","+// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,","+// and flushes to create a separate row group.","+func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {","+ sort.Slice(rows, func(i, j int) bool {","+ if rows[i].Metric != rows[j].Metric {","+ return rows[i].Metric < rows[j].Metric","+ }","+ return rows[i].Timestamp < rows[j].Timestamp","+ })","+","+ if _, err := w.writer.Write(rows); err != nil {"," return fmt.Errorf(\"writing parquet rows: %w\", err)"," }"," ","- if err := writer.Close(); err != nil {","+ if err := w.writer.Flush(); err != nil {","+ return fmt.Errorf(\"flushing parquet row group: %w\", err)","+ }","+","+ w.count += len(rows)","+ return nil","+}","+","+// Close finalises the Parquet file (footer, buffered I/O, file handle).","+func (w *parquetArchiveWriter) Close() error {","+ if err := w.writer.Close(); err != nil {","+ w.f.Close()"," return fmt.Errorf(\"closing parquet writer: %w\", err)"," }"," ","- if err := bw.Flush(); err != nil {","+ if err := w.bw.Flush(); err != nil {","+ w.f.Close()"," return fmt.Errorf(\"flushing parquet file: %w\", err)"," }"," ","- return nil","+ return w.f.Close()"," }"," ","+// sortParquetRows sorts rows by (metric, timestamp) in-place.","+func sortParquetRows(rows []ParquetMetricRow) {","+ sort.Slice(rows, func(i, j int) bool {","+ if rows[i].Metric != rows[j].Metric {","+ return rows[i].Metric < rows[j].Metric","+ }","+ return rows[i].Timestamp < rows[j].Timestamp","+ })","+}","+"," // loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns"," // a CheckpointFile. Used by the Parquet archiver to read checkpoint data"," // before converting it to Parquet format."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c7d57baf-2b11-4363-bd22-b6f5ae4cf140","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"36701fa4-3179-4da4-89fa-9bfce3b3f37d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VfefjavQzgZsqg8hHTVosW","type":"message","role":"assistant","content":[{"type":"text","text":"Now add `estimateRowCount` and update `archiveCheckpointsToParquet` to pre-allocate:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1526,"cache_read_input_tokens":29517,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1526},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97CJzZck3MZdNy2tP5h","type":"assistant","uuid":"b1545362-e02b-4a3e-a599-0260932338f4","timestamp":"2026-03-17T18:14:42.604Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"b1545362-e02b-4a3e-a599-0260932338f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VfefjavQzgZsqg8hHTVosW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L18aviRMvE979p3KoRTiow","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","old_string":"// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}","new_string":"// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1526,"cache_read_input_tokens":29517,"output_tokens":1038,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1526,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97CJzZck3MZdNy2tP5h","type":"assistant","uuid":"4f5d24ca-a19c-4d0c-821d-792a973286f3","timestamp":"2026-03-17T18:14:53.263Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"4f5d24ca-a19c-4d0c-821d-792a973286f3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01L18aviRMvE979p3KoRTiow","toolUseID":"toolu_01L18aviRMvE979p3KoRTiow","timestamp":"2026-03-17T18:14:53.280Z","uuid":"6e0f08b3-b1ff-432b-a857-0a3b7b7621cb","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"4f5d24ca-a19c-4d0c-821d-792a973286f3","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L18aviRMvE979p3KoRTiow","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go has been updated successfully."}]},"uuid":"16fc1de6-e4df-41ac-b4bf-44b902b5ebe4","timestamp":"2026-03-17T18:14:53.280Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","oldString":"// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}","newString":"// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster string `parquet:\"cluster\"`\n\tHostname string `parquet:\"hostname\"`\n\tMetric string `parquet:\"metric\"`\n\tScope string `parquet:\"scope\"`\n\tScopeID string `parquet:\"scope_id\"`\n\tTimestamp int64 `parquet:\"timestamp\"`\n\tFrequency int64 `parquet:\"frequency\"`\n\tValue float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster: cluster,\n\t\t\t\t\tHostname: hostname,\n\t\t\t\t\tMetric: metricName,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tScopeID: scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue: float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw *bufio.Writer\n\tf *os.File\n\tcount int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\tvar rows []ParquetMetricRow\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\trows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)\n\t}\n\n\treturn rows, files, nil\n}\n","structuredPatch":[{"oldStart":218,"oldLines":6,"newStart":218,"newLines":19,"lines":[" }"," }"," ","+// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.","+// Used for pre-allocating the rows slice to avoid repeated append doubling.","+func estimateRowCount(cf *CheckpointFile) int {","+ n := 0","+ for _, cm := range cf.Metrics {","+ n += len(cm.Data)","+ }","+ for _, child := range cf.Children {","+ n += estimateRowCount(child)","+ }","+ return n","+}","+"," // archiveCheckpointsToParquet reads checkpoint files for a host directory,"," // converts them to Parquet rows. Returns the rows and filenames that were processed."," func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {"]},{"oldStart":235,"oldLines":7,"newStart":248,"newLines":13,"lines":[" return nil, nil, nil"," }"," ","- var rows []ParquetMetricRow","+ // First pass: load checkpoints and estimate total rows for pre-allocation.","+ type loaded struct {","+ cf *CheckpointFile","+ filename string","+ }","+ var checkpoints []loaded","+ totalEstimate := 0"," "," for _, checkpoint := range files {"," filename := filepath.Join(dir, checkpoint)"]},{"oldStart":244,"oldLines":9,"newStart":263,"newLines":21,"lines":[" cclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)"," continue"," }","+ totalEstimate += estimateRowCount(cf)","+ checkpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})","+ }"," ","- rows = flattenCheckpointFile(cf, cluster, host, \"node\", \"\", rows)","+ if len(checkpoints) == 0 {","+ return nil, nil, nil"," }"," ","- return rows, files, nil","+ rows := make([]ParquetMetricRow, 0, totalEstimate)","+ processedFiles := make([]string, 0, len(checkpoints))","+","+ for _, cp := range checkpoints {","+ rows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)","+ processedFiles = append(processedFiles, cp.filename)","+ }","+","+ return rows, processedFiles, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4f5d24ca-a19c-4d0c-821d-792a973286f3","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"16fc1de6-e4df-41ac-b4bf-44b902b5ebe4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012Lax8yyV7unZDoBkvqzsAQ","type":"message","role":"assistant","content":[{"type":"text","text":"Good, expected errors — now let me remove the unused `sort` import since `sortParquetRows` uses it but it's actually used via the `sort.Slice` calls in `WriteHostRows` and `sortParquetRows`. Wait, the diagnostic said `sort` is unused — let me check. Actually the `sort` import IS used by `sort.Slice` in `WriteHostRows` and `sortParquetRows`. The diagnostic might have been stale. Let me proceed.\n\n**Step 2: Restructure `archiveCheckpoints` in `archive.go`**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1193,"cache_read_input_tokens":31043,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1193},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97DNEoZArSeP2DNLgPJ","type":"assistant","uuid":"2c2d7e52-c2d4-4eb8-95df-c41b6b08c910","timestamp":"2026-03-17T18:14:58.903Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"type":"file-history-snapshot","messageId":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","snapshot":{"messageId":"b533e922-ca3a-46ea-b62d-b0ee4ca0d906","trackedFileBackups":{"pkg/metricstore/parquetArchive.go":{"backupFileName":"d23fbf0a668003f6@v1","version":1,"backupTime":"2026-03-17T18:14:21.260Z"},"pkg/metricstore/archive.go":{"backupFileName":"ece15caff8adb332@v1","version":1,"backupTime":"2026-03-17T18:15:23.099Z"}},"timestamp":"2026-03-17T18:14:06.692Z"},"isSnapshotUpdate":true} +{"parentUuid":"2c2d7e52-c2d4-4eb8-95df-c41b6b08c910","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012Lax8yyV7unZDoBkvqzsAQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F2NUeSmUXJ526j3VVko9pD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","old_string":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir string // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","new_string":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir string // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1193,"cache_read_input_tokens":31043,"output_tokens":2500,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1193,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97DNEoZArSeP2DNLgPJ","type":"assistant","uuid":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","timestamp":"2026-03-17T18:15:23.085Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F2NUeSmUXJ526j3VVko9pD","toolUseID":"toolu_01F2NUeSmUXJ526j3VVko9pD","timestamp":"2026-03-17T18:15:23.102Z","uuid":"e0fd3321-304f-4b46-846f-dbe6a0232ece","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F2NUeSmUXJ526j3VVko9pD","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go has been updated successfully."}]},"uuid":"47eb0022-8caa-4b2e-88ac-0fd0dac90c40","timestamp":"2026-03-17T18:15:23.101Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","oldString":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir string // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","newString":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir string // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir string\n\t\tcluster, host string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost: de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Collect rows from all hosts in this cluster using worker pool\n\t\ttype hostResult struct {\n\t\t\trows []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir string // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Collect all rows and file info\n\t\tvar allRows []ParquetMetricRow\n\t\tvar allResults []hostResult\n\t\tfor r := range results {\n\t\t\tallRows = append(allRows, r.rows...)\n\t\t\tallResults = append(allResults, r)\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif len(allRows) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\t// Write one Parquet file per cluster\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\tif err := writeParquetArchive(parquetFile, allRows); err != nil {\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, result := range allResults {\n\t\t\tfor _, file := range result.files {\n\t\t\t\tfilename := filepath.Join(result.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\tlen(allRows), totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","structuredPatch":[{"oldStart":168,"oldLines":6,"newStart":168,"newLines":8,"lines":[" "," // archiveCheckpoints archives checkpoint files to Parquet format."," // Produces one Parquet file per cluster: //.parquet","+// Each host's rows are written as a separate row group to avoid accumulating","+// all data in memory at once."," func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {"," clusterEntries, err := os.ReadDir(checkpointsDir)"," if err != nil {"]},{"oldStart":187,"oldLines":7,"newStart":189,"newLines":7,"lines":[" return totalFiles, err"," }"," ","- // Collect rows from all hosts in this cluster using worker pool","+ // Stream per-host rows to parquet writer via worker pool"," type hostResult struct {"," rows []ParquetMetricRow"," files []string // checkpoint filenames to delete after successful write"]},{"oldStart":235,"oldLines":32,"newStart":237,"newLines":57,"lines":[" close(results)"," }()"," ","- // Collect all rows and file info","- var allRows []ParquetMetricRow","- var allResults []hostResult","+ // Open streaming writer and write each host's rows as a row group","+ parquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))","+ writer, err := newParquetArchiveWriter(parquetFile)","+ if err != nil {","+ // Drain results channel to unblock workers","+ for range results {","+ }","+ return totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)","+ }","+","+ type deleteItem struct {","+ dir string","+ files []string","+ }","+ var toDelete []deleteItem","+ writeErr := error(nil)","+"," for r := range results {","- allRows = append(allRows, r.rows...)","- allResults = append(allResults, r)","+ if writeErr == nil {","+ sortParquetRows(r.rows)","+ if err := writer.WriteHostRows(r.rows); err != nil {","+ writeErr = err","+ }","+ }","+ // Always track files for deletion (even if write failed, we still drain)","+ toDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})"," }"," ","+ if err := writer.Close(); err != nil && writeErr == nil {","+ writeErr = err","+ }","+"," if errs > 0 {"," return totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)"," }"," ","- if len(allRows) == 0 {","+ if writer.count == 0 {","+ // No data written — remove empty file","+ os.Remove(parquetFile)"," continue"," }"," ","- // Write one Parquet file per cluster","- parquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))","- if err := writeParquetArchive(parquetFile, allRows); err != nil {","- return totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, err)","+ if writeErr != nil {","+ os.Remove(parquetFile)","+ return totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)"," }"," "," // Delete archived checkpoint files","- for _, result := range allResults {","- for _, file := range result.files {","- filename := filepath.Join(result.dir, file)","+ for _, item := range toDelete {","+ for _, file := range item.files {","+ filename := filepath.Join(item.dir, file)"," if err := os.Remove(filename); err != nil {"," cclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)"," } else {"]},{"oldStart":270,"oldLines":7,"newStart":297,"newLines":7,"lines":[" }"," "," cclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",","- len(allRows), totalFiles, cluster, parquetFile)","+ writer.count, totalFiles, cluster, parquetFile)"," }"," "," return totalFiles, nil"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9d120e45-e7dc-43fe-9300-b76eeb8d8ff4","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"47eb0022-8caa-4b2e-88ac-0fd0dac90c40","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XTPGUVscaJmpJtqecJZDNZ","type":"message","role":"assistant","content":[{"type":"text","text":"**Step 3: Update test** to use the new streaming writer API"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2652,"cache_read_input_tokens":32236,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2652},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97FZifxKLLeJQRAgHBn","type":"assistant","uuid":"687408e1-d7e5-4f27-a852-4e0476e0fd31","timestamp":"2026-03-17T18:15:27.375Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"687408e1-d7e5-4f27-a852-4e0476e0fd31","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XTPGUVscaJmpJtqecJZDNZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M1nyxsJMiPzxPYDzSP7Xdg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive_test.go","old_string":"\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\tif err := writeParquetArchive(parquetFile, rows); 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err != nil {\n\t\tt.Fatal(err)\n\t}","newString":"\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\twriter, err := newParquetArchiveWriter(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tsortParquetRows(rows)\n\tif err := writer.WriteHostRows(rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := writer.Close(); err != nil {\n\t\tt.Fatal(err)\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\nfunc TestParseScopeFromName(t *testing.T) {\n\ttests := []struct {\n\t\tname string\n\t\twantScope string\n\t\twantID string\n\t}{\n\t\t{\"socket0\", \"socket\", \"0\"},\n\t\t{\"socket12\", \"socket\", \"12\"},\n\t\t{\"core0\", \"core\", \"0\"},\n\t\t{\"core127\", \"core\", \"127\"},\n\t\t{\"cpu0\", \"hwthread\", \"0\"},\n\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n\t\t{\"unknown\", \"unknown\", \"\"},\n\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tscope, id := parseScopeFromName(tt.name)\n\t\t\tif scope != tt.wantScope || id != tt.wantID {\n\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestFlattenCheckpointFile(t *testing.T) {\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo: 1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart: 1000,\n\t\t\t\tData: []schema.Float{0.5, 0.7, schema.NaN},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart: 1000,\n\t\t\t\t\t\tData: []schema.Float{100.0, schema.NaN, 200.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n\n\t// cpu_load: 2 non-NaN values at node scope\n\t// mem_bw: 2 non-NaN values at socket0 scope\n\tif len(rows) != 4 {\n\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n\t}\n\n\t// Verify a node-scope row\n\tfound := false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n\t\t\tfound = true\n\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n\t\t\t}\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n\t}\n\n\t// Verify a socket-scope row\n\tfound = false\n\tfor _, r := range rows {\n\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n\t\t\tfound = true\n\t\t}\n\t}\n\tif !found {\n\t\tt.Error(\"expected mem_bw row with scope=socket, scope_id=0\")\n\t}\n}\n\nfunc TestParquetArchiveRoundtrip(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\t// Create checkpoint files on disk (JSON format)\n\tcpDir := filepath.Join(tmpDir, \"checkpoints\", \"testcluster\", \"node001\")\n\tif err := os.MkdirAll(cpDir, 0o755); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo: 1180,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"cpu_load\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart: 1000,\n\t\t\t\tData: []schema.Float{0.5, 0.7, 0.9},\n\t\t\t},\n\t\t\t\"mem_used\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart: 1000,\n\t\t\t\tData: []schema.Float{45.0, 46.0, 47.0},\n\t\t\t},\n\t\t},\n\t\tChildren: map[string]*CheckpointFile{\n\t\t\t\"socket0\": {\n\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\t\t\"mem_bw\": {\n\t\t\t\t\t\tFrequency: 60,\n\t\t\t\t\t\tStart: 1000,\n\t\t\t\t\t\tData: []schema.Float{100.0, 110.0, 120.0},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t\tChildren: make(map[string]*CheckpointFile),\n\t\t\t},\n\t\t},\n\t}\n\n\t// Write JSON checkpoint\n\tcpFile := filepath.Join(cpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(cpFile, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Archive to Parquet\n\tarchiveDir := filepath.Join(tmpDir, \"archive\")\n\trows, files, err := archiveCheckpointsToParquet(cpDir, \"testcluster\", \"node001\", 2000)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif len(files) != 1 || files[0] != \"1000.json\" {\n\t\tt.Fatalf(\"expected 1 file, got %v\", files)\n\t}\n\n\tparquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")\n\tif err := writeParquetArchive(parquetFile, rows); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// Read back and verify\n\tf, err := os.Open(parquetFile)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tdefer f.Close()\n\n\tstat, _ := f.Stat()\n\tpf, err := pq.OpenFile(f, stat.Size())\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\treader := pq.NewGenericReader[ParquetMetricRow](pf)\n\treadRows := make([]ParquetMetricRow, 100)\n\tn, err := reader.Read(readRows)\n\tif err != nil && n == 0 {\n\t\tt.Fatal(err)\n\t}\n\treadRows = readRows[:n]\n\treader.Close()\n\n\t// We expect: cpu_load(3) + mem_used(3) + mem_bw(3) = 9 rows\n\tif n != 9 {\n\t\tt.Fatalf(\"expected 9 rows in parquet file, got %d\", n)\n\t}\n\n\t// Verify cluster and hostname are set correctly\n\tfor _, r := range readRows {\n\t\tif r.Cluster != \"testcluster\" {\n\t\t\tt.Errorf(\"expected cluster=testcluster, got %s\", r.Cluster)\n\t\t}\n\t\tif r.Hostname != \"node001\" {\n\t\t\tt.Errorf(\"expected hostname=node001, got %s\", r.Hostname)\n\t\t}\n\t}\n\n\t// Verify parquet file is smaller than JSON (compression working)\n\tif stat.Size() == 0 {\n\t\tt.Error(\"parquet file is empty\")\n\t}\n\n\tt.Logf(\"Parquet file size: %d bytes for %d rows\", stat.Size(), n)\n}\n\nfunc TestLoadCheckpointFileFromDisk_JSON(t *testing.T) {\n\ttmpDir := t.TempDir()\n\n\tcf := &CheckpointFile{\n\t\tFrom: 1000,\n\t\tTo: 1060,\n\t\tMetrics: map[string]*CheckpointMetrics{\n\t\t\t\"test_metric\": {\n\t\t\t\tFrequency: 60,\n\t\t\t\tStart: 1000,\n\t\t\t\tData: []schema.Float{1.0, 2.0, 3.0},\n\t\t\t},\n\t\t},\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfilename := filepath.Join(tmpDir, \"1000.json\")\n\tdata, err := json.Marshal(cf)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\tif err := os.WriteFile(filename, data, 0o644); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tloaded, err := loadCheckpointFileFromDisk(filename)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif loaded.From != 1000 || loaded.To != 1060 {\n\t\tt.Errorf(\"expected From=1000, To=1060, got From=%d, To=%d\", loaded.From, loaded.To)\n\t}\n\n\tm, ok := loaded.Metrics[\"test_metric\"]\n\tif !ok {\n\t\tt.Fatal(\"expected test_metric in loaded checkpoint\")\n\t}\n\tif m.Frequency != 60 || m.Start != 1000 || len(m.Data) != 3 {\n\t\tt.Errorf(\"unexpected metric data: %+v\", m)\n\t}\n}\n","structuredPatch":[{"oldStart":162,"oldLines":9,"newStart":162,"newLines":17,"lines":[" }"," "," parquetFile := filepath.Join(archiveDir, \"testcluster\", \"1000.parquet\")","- if err := writeParquetArchive(parquetFile, rows); err != nil {","+ writer, err := newParquetArchiveWriter(parquetFile)","+ if err != nil {"," t.Fatal(err)"," }","+ sortParquetRows(rows)","+ if err := writer.WriteHostRows(rows); err != nil {","+ t.Fatal(err)","+ }","+ if err := writer.Close(); err != nil {","+ t.Fatal(err)","+ }"," "," // Read back and verify"," f, err := os.Open(parquetFile)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"53cbcd29-7347-43e9-909c-86cbb06de2ee","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"a4bddb8c-8678-45cb-b4eb-3c57fb08c4dd","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017Tu71bKhnFhRgC2f24f1xU","type":"message","role":"assistant","content":[{"type":"text","text":"Now let's run the tests and vet:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":382,"cache_read_input_tokens":34888,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":382},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97G9ZeHXXHGWHxb66Qa","type":"assistant","uuid":"ed731b66-7c83-41a1-9a35-f3f3f586702f","timestamp":"2026-03-17T18:15:34.241Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"ed731b66-7c83-41a1-9a35-f3f3f586702f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017Tu71bKhnFhRgC2f24f1xU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H2JusBSC2deTFP8LtuB2wJ","name":"Bash","input":{"command":"go vet ./pkg/metricstore/... 2>&1","description":"Run go vet on metricstore package"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":382,"cache_read_input_tokens":34888,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":382},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97G9ZeHXXHGWHxb66Qa","type":"assistant","uuid":"8bd74998-cd5a-4393-bc2b-57deef3949dd","timestamp":"2026-03-17T18:15:35.123Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"8bd74998-cd5a-4393-bc2b-57deef3949dd","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017Tu71bKhnFhRgC2f24f1xU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y1VTXV4w6gCfFBDTJRRJiU","name":"Bash","input":{"command":"go test -v ./pkg/metricstore/... 2>&1","description":"Run tests for metricstore package","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":382,"cache_read_input_tokens":34888,"output_tokens":223,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":382,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ97G9ZeHXXHGWHxb66Qa","type":"assistant","uuid":"442aef62-2c74-45f6-8858-79e6b9da2e9f","timestamp":"2026-03-17T18:15:36.076Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"8bd74998-cd5a-4393-bc2b-57deef3949dd","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H2JusBSC2deTFP8LtuB2wJ","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"395eb355-82ab-4b3c-ae77-0f3695838e37","timestamp":"2026-03-17T18:15:37.666Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"8bd74998-cd5a-4393-bc2b-57deef3949dd","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"442aef62-2c74-45f6-8858-79e6b9da2e9f","isSidechain":false,"promptId":"9e69bd94-834f-43c2-9173-add782b0f1d4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y1VTXV4w6gCfFBDTJRRJiU","type":"tool_result","content":"=== RUN TestBufferPoolGetReuse\n--- PASS: TestBufferPoolGetReuse (0.00s)\n=== RUN TestBufferPoolClear\n--- PASS: TestBufferPoolClear (0.00s)\n=== RUN TestBufferEndFirstWrite\n--- PASS: TestBufferEndFirstWrite (0.00s)\n=== RUN TestBufferWriteNaNFill\n--- PASS: TestBufferWriteNaNFill (0.00s)\n=== RUN TestBufferWriteCapacityOverflow\n--- PASS: TestBufferWriteCapacityOverflow (0.00s)\n=== RUN TestBufferWriteOverwrite\n--- PASS: TestBufferWriteOverwrite (0.00s)\n=== RUN TestBufferReadBeforeFirstWrite\n--- PASS: TestBufferReadBeforeFirstWrite (0.00s)\n=== RUN TestBufferReadChain\n--- PASS: TestBufferReadChain (0.00s)\n=== RUN TestBufferReadIdxAfterSwitch\n--- PASS: TestBufferReadIdxAfterSwitch (0.00s)\n=== RUN TestBufferReadNaNValues\n--- PASS: TestBufferReadNaNValues (0.00s)\n=== RUN TestBufferReadAccumulation\n--- PASS: TestBufferReadAccumulation (0.00s)\n=== RUN TestBufferFreeRetention\n--- PASS: TestBufferFreeRetention (0.00s)\n=== RUN TestBufferFreeAll\n--- PASS: TestBufferFreeAll (0.00s)\n=== RUN TestForceFreeOldestPoolReturn\n--- PASS: TestForceFreeOldestPoolReturn (0.00s)\n=== RUN TestForceFreeOldestSingleBuffer\n--- PASS: TestForceFreeOldestSingleBuffer (0.00s)\n=== RUN TestBufferIterFromToOrder\n--- PASS: TestBufferIterFromToOrder (0.00s)\n=== RUN TestBufferIterFromToFiltered\n--- PASS: TestBufferIterFromToFiltered (0.00s)\n=== RUN TestBufferIterFromToNilBuffer\n--- PASS: TestBufferIterFromToNilBuffer (0.00s)\n=== RUN TestBufferCount\n--- PASS: TestBufferCount (0.00s)\n=== RUN TestAssignAggregationStrategy\n=== RUN TestAssignAggregationStrategy/empty_string\n=== RUN TestAssignAggregationStrategy/sum\n=== RUN TestAssignAggregationStrategy/avg\n=== RUN TestAssignAggregationStrategy/invalid\n--- PASS: TestAssignAggregationStrategy (0.00s)\n --- PASS: TestAssignAggregationStrategy/empty_string (0.00s)\n --- PASS: TestAssignAggregationStrategy/sum (0.00s)\n --- PASS: TestAssignAggregationStrategy/avg (0.00s)\n --- PASS: TestAssignAggregationStrategy/invalid (0.00s)\n=== RUN TestBufferWrite\n--- PASS: TestBufferWrite (0.00s)\n=== RUN TestBufferRead\n--- PASS: TestBufferRead (0.00s)\n=== RUN TestHealthCheck\n=== RUN TestHealthCheck/all_metrics_healthy\n=== RUN TestHealthCheck/some_metrics_stale\n<7>[DEBUG] 2026/03/17 19:15:40 [metricstore] HealthCheck: node node002degraded metrics:[cpu_user cpu_system]\n=== RUN TestHealthCheck/some_metrics_missing\n<7>[DEBUG] 2026/03/17 19:15:40 [metricstore] HealthCheck: node node003missing metrics:[cpu_user cpu_system]\n=== RUN TestHealthCheck/node_not_found\n=== RUN TestHealthCheck/all_metrics_stale\n<7>[DEBUG] 2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used cpu_user cpu_system]\n=== RUN TestHealthCheck/multiple_nodes_mixed_states\n<7>[DEBUG] 2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used]\n--- PASS: TestHealthCheck (0.00s)\n --- PASS: TestHealthCheck/all_metrics_healthy (0.00s)\n --- PASS: TestHealthCheck/some_metrics_stale (0.00s)\n --- PASS: TestHealthCheck/some_metrics_missing (0.00s)\n --- PASS: TestHealthCheck/node_not_found (0.00s)\n --- PASS: TestHealthCheck/all_metrics_stale (0.00s)\n --- PASS: TestHealthCheck/multiple_nodes_mixed_states (0.00s)\n=== RUN TestGetHealthyMetrics\n=== RUN TestGetHealthyMetrics/mixed_health_states\n=== RUN TestGetHealthyMetrics/node_not_found\n=== RUN TestGetHealthyMetrics/check_only_healthy_metric\n--- PASS: TestGetHealthyMetrics (0.00s)\n --- PASS: TestGetHealthyMetrics/mixed_health_states (0.00s)\n --- PASS: TestGetHealthyMetrics/node_not_found (0.00s)\n --- PASS: TestGetHealthyMetrics/check_only_healthy_metric (0.00s)\n=== RUN TestBufferHealthChecks\n=== RUN TestBufferHealthChecks/nil_buffer\n=== RUN TestBufferHealthChecks/empty_buffer\n=== RUN TestBufferHealthChecks/healthy_buffer_with_recent_data\n=== RUN TestBufferHealthChecks/stale_buffer_beyond_threshold\n=== RUN TestBufferHealthChecks/buffer_at_threshold_boundary\n--- PASS: TestBufferHealthChecks (0.00s)\n --- PASS: TestBufferHealthChecks/nil_buffer (0.00s)\n --- PASS: TestBufferHealthChecks/empty_buffer (0.00s)\n --- PASS: TestBufferHealthChecks/healthy_buffer_with_recent_data (0.00s)\n --- PASS: TestBufferHealthChecks/stale_buffer_beyond_threshold (0.00s)\n --- PASS: TestBufferHealthChecks/buffer_at_threshold_boundary (0.00s)\n=== RUN TestBufferPoolClean\n--- PASS: TestBufferPoolClean (0.00s)\n=== RUN TestParseScopeFromName\n=== RUN TestParseScopeFromName/socket0\n=== RUN TestParseScopeFromName/socket12\n=== RUN TestParseScopeFromName/core0\n=== RUN TestParseScopeFromName/core127\n=== RUN TestParseScopeFromName/cpu0\n=== RUN TestParseScopeFromName/hwthread5\n=== RUN TestParseScopeFromName/memoryDomain0\n=== RUN TestParseScopeFromName/accelerator0\n=== RUN TestParseScopeFromName/unknown\n=== RUN TestParseScopeFromName/socketX\n--- PASS: TestParseScopeFromName (0.00s)\n --- PASS: TestParseScopeFromName/socket0 (0.00s)\n --- PASS: TestParseScopeFromName/socket12 (0.00s)\n --- PASS: TestParseScopeFromName/core0 (0.00s)\n --- PASS: TestParseScopeFromName/core127 (0.00s)\n --- PASS: TestParseScopeFromName/cpu0 (0.00s)\n --- PASS: TestParseScopeFromName/hwthread5 (0.00s)\n --- PASS: TestParseScopeFromName/memoryDomain0 (0.00s)\n --- PASS: TestParseScopeFromName/accelerator0 (0.00s)\n --- PASS: TestParseScopeFromName/unknown (0.00s)\n --- PASS: TestParseScopeFromName/socketX (0.00s)\n=== RUN TestFlattenCheckpointFile\n--- PASS: TestFlattenCheckpointFile (0.00s)\n=== RUN TestParquetArchiveRoundtrip\n parquetArchive_test.go:219: Parquet file size: 2060 bytes for 9 rows\n--- PASS: TestParquetArchiveRoundtrip (0.01s)\n=== RUN TestLoadCheckpointFileFromDisk_JSON\n--- PASS: TestLoadCheckpointFileFromDisk_JSON (0.00s)\n=== RUN TestBuildScopeQueries\n=== RUN TestBuildScopeQueries/HWThread->HWThread\n=== RUN TestBuildScopeQueries/Core->Core\n=== RUN TestBuildScopeQueries/Socket->Socket\n=== RUN TestBuildScopeQueries/MemoryDomain->MemoryDomain\n=== RUN TestBuildScopeQueries/Node->Node\n=== RUN TestBuildScopeQueries/Accelerator->Accelerator\n=== RUN TestBuildScopeQueries/HWThread->Core\n=== RUN TestBuildScopeQueries/HWThread->Socket\n=== RUN TestBuildScopeQueries/HWThread->Node\n=== RUN TestBuildScopeQueries/Core->Socket\n=== RUN TestBuildScopeQueries/Core->Node\n=== RUN TestBuildScopeQueries/Socket->Node\n=== RUN TestBuildScopeQueries/MemoryDomain->Node\n=== RUN TestBuildScopeQueries/MemoryDomain->Socket\n=== RUN TestBuildScopeQueries/Accelerator->Node\n=== RUN TestBuildScopeQueries/Accelerator->Core_(exception)\n--- PASS: TestBuildScopeQueries (0.00s)\n --- PASS: TestBuildScopeQueries/HWThread->HWThread (0.00s)\n --- PASS: TestBuildScopeQueries/Core->Core (0.00s)\n --- PASS: TestBuildScopeQueries/Socket->Socket (0.00s)\n --- PASS: TestBuildScopeQueries/MemoryDomain->MemoryDomain (0.00s)\n --- PASS: TestBuildScopeQueries/Node->Node (0.00s)\n --- PASS: TestBuildScopeQueries/Accelerator->Accelerator (0.00s)\n --- PASS: TestBuildScopeQueries/HWThread->Core (0.00s)\n --- PASS: TestBuildScopeQueries/HWThread->Socket (0.00s)\n --- PASS: TestBuildScopeQueries/HWThread->Node (0.00s)\n --- PASS: TestBuildScopeQueries/Core->Socket (0.00s)\n --- PASS: TestBuildScopeQueries/Core->Node (0.00s)\n --- PASS: TestBuildScopeQueries/Socket->Node (0.00s)\n --- PASS: TestBuildScopeQueries/MemoryDomain->Node (0.00s)\n --- PASS: TestBuildScopeQueries/MemoryDomain->Socket (0.00s)\n --- PASS: TestBuildScopeQueries/Accelerator->Node (0.00s)\n --- PASS: TestBuildScopeQueries/Accelerator->Core_(exception) (0.00s)\n=== RUN TestBuildScopeQueries_UnhandledCase\n--- PASS: TestBuildScopeQueries_UnhandledCase (0.00s)\n=== RUN TestIntToStringSlice\n--- PASS: TestIntToStringSlice (0.00s)\n=== RUN TestSanitizeStats\n--- PASS: TestSanitizeStats (0.00s)\n=== RUN TestNodeToNodeQuery\n--- PASS: TestNodeToNodeQuery (0.00s)\nPASS\nok \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.496s","is_error":false}]},"uuid":"0793b054-000b-44b7-98f9-e872d7349770","timestamp":"2026-03-17T18:15:40.202Z","toolUseResult":{"stdout":"=== RUN TestBufferPoolGetReuse\n--- PASS: TestBufferPoolGetReuse (0.00s)\n=== RUN TestBufferPoolClear\n--- PASS: TestBufferPoolClear (0.00s)\n=== RUN TestBufferEndFirstWrite\n--- PASS: TestBufferEndFirstWrite (0.00s)\n=== RUN TestBufferWriteNaNFill\n--- PASS: TestBufferWriteNaNFill (0.00s)\n=== RUN TestBufferWriteCapacityOverflow\n--- PASS: TestBufferWriteCapacityOverflow (0.00s)\n=== RUN TestBufferWriteOverwrite\n--- PASS: TestBufferWriteOverwrite (0.00s)\n=== RUN TestBufferReadBeforeFirstWrite\n--- PASS: TestBufferReadBeforeFirstWrite (0.00s)\n=== RUN TestBufferReadChain\n--- PASS: TestBufferReadChain (0.00s)\n=== RUN TestBufferReadIdxAfterSwitch\n--- PASS: TestBufferReadIdxAfterSwitch (0.00s)\n=== RUN TestBufferReadNaNValues\n--- PASS: TestBufferReadNaNValues (0.00s)\n=== RUN TestBufferReadAccumulation\n--- PASS: TestBufferReadAccumulation (0.00s)\n=== RUN TestBufferFreeRetention\n--- PASS: TestBufferFreeRetention (0.00s)\n=== RUN TestBufferFreeAll\n--- PASS: TestBufferFreeAll (0.00s)\n=== RUN TestForceFreeOldestPoolReturn\n--- PASS: TestForceFreeOldestPoolReturn (0.00s)\n=== RUN TestForceFreeOldestSingleBuffer\n--- PASS: TestForceFreeOldestSingleBuffer (0.00s)\n=== RUN TestBufferIterFromToOrder\n--- PASS: TestBufferIterFromToOrder (0.00s)\n=== RUN TestBufferIterFromToFiltered\n--- PASS: TestBufferIterFromToFiltered (0.00s)\n=== RUN TestBufferIterFromToNilBuffer\n--- PASS: TestBufferIterFromToNilBuffer (0.00s)\n=== RUN TestBufferCount\n--- PASS: TestBufferCount (0.00s)\n=== RUN TestAssignAggregationStrategy\n=== RUN TestAssignAggregationStrategy/empty_string\n=== RUN TestAssignAggregationStrategy/sum\n=== RUN TestAssignAggregationStrategy/avg\n=== RUN TestAssignAggregationStrategy/invalid\n--- PASS: TestAssignAggregationStrategy (0.00s)\n --- PASS: TestAssignAggregationStrategy/empty_string (0.00s)\n --- PASS: TestAssignAggregationStrategy/sum (0.00s)\n --- PASS: TestAssignAggregationStrategy/avg (0.00s)\n --- PASS: TestAssignAggregationStrategy/invalid (0.00s)\n=== RUN TestBufferWrite\n--- PASS: TestBufferWrite (0.00s)\n=== RUN TestBufferRead\n--- PASS: TestBufferRead (0.00s)\n=== RUN TestHealthCheck\n=== RUN TestHealthCheck/all_metrics_healthy\n=== RUN TestHealthCheck/some_metrics_stale\n<7>[DEBUG] 2026/03/17 19:15:40 [metricstore] HealthCheck: node node002degraded metrics:[cpu_user cpu_system]\n=== RUN TestHealthCheck/some_metrics_missing\n<7>[DEBUG] 2026/03/17 19:15:40 [metricstore] HealthCheck: node node003missing metrics:[cpu_user cpu_system]\n=== RUN TestHealthCheck/node_not_found\n=== RUN TestHealthCheck/all_metrics_stale\n<7>[DEBUG] 2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used cpu_user cpu_system]\n=== RUN TestHealthCheck/multiple_nodes_mixed_states\n<7>[DEBUG] 2026/03/17 19:15:40 [metricstore] HealthCheck: node node005degraded metrics:[load mem_used]\n--- PASS: TestHealthCheck (0.00s)\n --- PASS: TestHealthCheck/all_metrics_healthy (0.00s)\n --- PASS: TestHealthCheck/some_metrics_stale (0.00s)\n --- PASS: TestHealthCheck/some_metrics_missing (0.00s)\n --- PASS: TestHealthCheck/node_not_found (0.00s)\n --- PASS: TestHealthCheck/all_metrics_stale (0.00s)\n --- PASS: TestHealthCheck/multiple_nodes_mixed_states (0.00s)\n=== RUN TestGetHealthyMetrics\n=== RUN TestGetHealthyMetrics/mixed_health_states\n=== RUN TestGetHealthyMetrics/node_not_found\n=== RUN TestGetHealthyMetrics/check_only_healthy_metric\n--- PASS: TestGetHealthyMetrics (0.00s)\n --- PASS: TestGetHealthyMetrics/mixed_health_states (0.00s)\n --- PASS: TestGetHealthyMetrics/node_not_found (0.00s)\n --- PASS: TestGetHealthyMetrics/check_only_healthy_metric (0.00s)\n=== RUN TestBufferHealthChecks\n=== RUN TestBufferHealthChecks/nil_buffer\n=== RUN TestBufferHealthChecks/empty_buffer\n=== RUN TestBufferHealthChecks/healthy_buffer_with_recent_data\n=== RUN TestBufferHealthChecks/stale_buffer_beyond_threshold\n=== RUN TestBufferHealthChecks/buffer_at_threshold_boundary\n--- PASS: TestBufferHealthChecks (0.00s)\n --- PASS: TestBufferHealthChecks/nil_buffer (0.00s)\n --- PASS: TestBufferHealthChecks/empty_buffer (0.00s)\n --- PASS: TestBufferHealthChecks/healthy_buffer_with_recent_data (0.00s)\n --- PASS: TestBufferHealthChecks/stale_buffer_beyond_threshold (0.00s)\n --- PASS: TestBufferHealthChecks/buffer_at_threshold_boundary (0.00s)\n=== RUN TestBufferPoolClean\n--- PASS: TestBufferPoolClean (0.00s)\n=== RUN TestParseScopeFromName\n=== RUN TestParseScopeFromName/socket0\n=== RUN TestParseScopeFromName/socket12\n=== RUN TestParseScopeFromName/core0\n=== RUN TestParseScopeFromName/core127\n=== RUN TestParseScopeFromName/cpu0\n=== RUN TestParseScopeFromName/hwthread5\n=== RUN TestParseScopeFromName/memoryDomain0\n=== RUN TestParseScopeFromName/accelerator0\n=== RUN TestParseScopeFromName/unknown\n=== RUN TestParseScopeFromName/socketX\n--- PASS: TestParseScopeFromName (0.00s)\n --- PASS: TestParseScopeFromName/socket0 (0.00s)\n --- PASS: TestParseScopeFromName/socket12 (0.00s)\n --- PASS: TestParseScopeFromName/core0 (0.00s)\n --- PASS: TestParseScopeFromName/core127 (0.00s)\n --- PASS: TestParseScopeFromName/cpu0 (0.00s)\n --- PASS: TestParseScopeFromName/hwthread5 (0.00s)\n --- PASS: TestParseScopeFromName/memoryDomain0 (0.00s)\n --- PASS: TestParseScopeFromName/accelerator0 (0.00s)\n --- PASS: TestParseScopeFromName/unknown (0.00s)\n --- PASS: TestParseScopeFromName/socketX (0.00s)\n=== RUN TestFlattenCheckpointFile\n--- PASS: TestFlattenCheckpointFile (0.00s)\n=== RUN TestParquetArchiveRoundtrip\n parquetArchive_test.go:219: Parquet file size: 2060 bytes for 9 rows\n--- PASS: TestParquetArchiveRoundtrip (0.01s)\n=== RUN TestLoadCheckpointFileFromDisk_JSON\n--- PASS: TestLoadCheckpointFileFromDisk_JSON (0.00s)\n=== RUN TestBuildScopeQueries\n=== RUN TestBuildScopeQueries/HWThread->HWThread\n=== RUN TestBuildScopeQueries/Core->Core\n=== RUN TestBuildScopeQueries/Socket->Socket\n=== RUN TestBuildScopeQueries/MemoryDomain->MemoryDomain\n=== RUN TestBuildScopeQueries/Node->Node\n=== RUN TestBuildScopeQueries/Accelerator->Accelerator\n=== RUN TestBuildScopeQueries/HWThread->Core\n=== RUN TestBuildScopeQueries/HWThread->Socket\n=== RUN TestBuildScopeQueries/HWThread->Node\n=== RUN TestBuildScopeQueries/Core->Socket\n=== RUN TestBuildScopeQueries/Core->Node\n=== RUN TestBuildScopeQueries/Socket->Node\n=== RUN TestBuildScopeQueries/MemoryDomain->Node\n=== RUN TestBuildScopeQueries/MemoryDomain->Socket\n=== RUN TestBuildScopeQueries/Accelerator->Node\n=== RUN TestBuildScopeQueries/Accelerator->Core_(exception)\n--- PASS: TestBuildScopeQueries (0.00s)\n --- PASS: TestBuildScopeQueries/HWThread->HWThread (0.00s)\n --- PASS: TestBuildScopeQueries/Core->Core (0.00s)\n --- PASS: TestBuildScopeQueries/Socket->Socket (0.00s)\n --- PASS: TestBuildScopeQueries/MemoryDomain->MemoryDomain (0.00s)\n --- PASS: TestBuildScopeQueries/Node->Node (0.00s)\n --- PASS: TestBuildScopeQueries/Accelerator->Accelerator (0.00s)\n --- PASS: TestBuildScopeQueries/HWThread->Core (0.00s)\n --- PASS: TestBuildScopeQueries/HWThread->Socket (0.00s)\n --- PASS: TestBuildScopeQueries/HWThread->Node (0.00s)\n --- PASS: TestBuildScopeQueries/Core->Socket (0.00s)\n --- PASS: TestBuildScopeQueries/Core->Node (0.00s)\n --- PASS: TestBuildScopeQueries/Socket->Node (0.00s)\n --- PASS: TestBuildScopeQueries/MemoryDomain->Node (0.00s)\n --- PASS: TestBuildScopeQueries/MemoryDomain->Socket (0.00s)\n --- PASS: TestBuildScopeQueries/Accelerator->Node (0.00s)\n --- PASS: TestBuildScopeQueries/Accelerator->Core_(exception) (0.00s)\n=== RUN TestBuildScopeQueries_UnhandledCase\n--- PASS: TestBuildScopeQueries_UnhandledCase (0.00s)\n=== RUN TestIntToStringSlice\n--- PASS: TestIntToStringSlice (0.00s)\n=== RUN TestSanitizeStats\n--- PASS: TestSanitizeStats (0.00s)\n=== RUN TestNodeToNodeQuery\n--- PASS: TestNodeToNodeQuery (0.00s)\nPASS\nok \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.496s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"442aef62-2c74-45f6-8858-79e6b9da2e9f","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"0793b054-000b-44b7-98f9-e872d7349770","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0141zKHqUaRE5ZzPG2dBZwmN","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass and `go vet` is clean. Here's a summary of the changes:\n\n### Changes Made\n\n**`pkg/metricstore/parquetArchive.go`**:\n- Added `parquetArchiveWriter` struct with `newParquetArchiveWriter()`, `WriteHostRows()`, and `Close()` methods — streams rows incrementally instead of buffering everything\n- Removed `writeParquetArchive()` which buffered all rows + used `SortingWriterConfig` (the double-buffering culprit)\n- Each `WriteHostRows()` call sorts in-place and flushes, creating one row group per host\n- Added `estimateRowCount()` to pre-allocate the per-host rows slice\n- Added `sortParquetRows()` helper\n- `archiveCheckpointsToParquet()` now pre-allocates rows using `estimateRowCount()`\n\n**`pkg/metricstore/archive.go`**:\n- `archiveCheckpoints()` now opens a `parquetArchiveWriter` before consuming results\n- Each host's rows are written and flushed immediately via `WriteHostRows()`, then the rows are GC'd\n- Only one host's data lives in memory at a time instead of all hosts\n- Empty file cleanup if no data was written\n\n**`pkg/metricstore/parquetArchive_test.go`**:\n- Updated `TestParquetArchiveRoundtrip` to use the new streaming writer API\n\n### Memory Impact\n- **Before**: ~3x raw data (all rows + sorting writer copy + append overhead) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3493,"cache_read_input_tokens":35270,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3493},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ97Gpd8w1yQHh3JNoHUn","type":"assistant","uuid":"cb8ce8a5-8c94-457e-92f2-d57e5590614f","timestamp":"2026-03-17T18:15:51.621Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"bufio\"\n 10→\t\"encoding/binary\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"os\"\n 14→\t\"path/filepath\"\n 15→\t\"sort\"\n 16→\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\tpq \"github.com/parquet-go/parquet-go\"\n 19→)\n 20→\n 21→// ParquetMetricRow is the long-format schema for archived metric data.\n 22→// One row per (host, metric, scope, scope_id, timestamp) data point.\n 23→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n 24→type ParquetMetricRow struct {\n 25→\tCluster string `parquet:\"cluster\"`\n 26→\tHostname string `parquet:\"hostname\"`\n 27→\tMetric string `parquet:\"metric\"`\n 28→\tScope string `parquet:\"scope\"`\n 29→\tScopeID string `parquet:\"scope_id\"`\n 30→\tTimestamp int64 `parquet:\"timestamp\"`\n 31→\tFrequency int64 `parquet:\"frequency\"`\n 32→\tValue float32 `parquet:\"value\"`\n 33→}\n 34→\n 35→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n 36→// The scope path is built from the hierarchy: host level is \"node\", then child names\n 37→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n 38→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n 39→\tfor metricName, cm := range cf.Metrics {\n 40→\t\tts := cm.Start\n 41→\t\tfor _, v := range cm.Data {\n 42→\t\t\tif !v.IsNaN() {\n 43→\t\t\t\trows = append(rows, ParquetMetricRow{\n 44→\t\t\t\t\tCluster: cluster,\n 45→\t\t\t\t\tHostname: hostname,\n 46→\t\t\t\t\tMetric: metricName,\n 47→\t\t\t\t\tScope: scope,\n 48→\t\t\t\t\tScopeID: scopeID,\n 49→\t\t\t\t\tTimestamp: ts,\n 50→\t\t\t\t\tFrequency: cm.Frequency,\n 51→\t\t\t\t\tValue: float32(v),\n 52→\t\t\t\t})\n 53→\t\t\t}\n 54→\t\t\tts += cm.Frequency\n 55→\t\t}\n 56→\t}\n 57→\n 58→\tfor childName, childCf := range cf.Children {\n 59→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n 60→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n 61→\t}\n 62→\n 63→\treturn rows\n 64→}\n 65→\n 66→// parseScopeFromName infers scope and scope_id from a child level name.\n 67→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n 68→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n 69→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n 70→func parseScopeFromName(name string) (string, string) {\n 71→\tprefixes := []struct {\n 72→\t\tprefix string\n 73→\t\tscope string\n 74→\t}{\n 75→\t\t{\"socket\", \"socket\"},\n 76→\t\t{\"memoryDomain\", \"memoryDomain\"},\n 77→\t\t{\"core\", \"core\"},\n 78→\t\t{\"hwthread\", \"hwthread\"},\n 79→\t\t{\"cpu\", \"hwthread\"},\n 80→\t\t{\"accelerator\", \"accelerator\"},\n 81→\t}\n 82→\n 83→\tfor _, p := range prefixes {\n 84→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n 85→\t\t\tid := name[len(p.prefix):]\n 86→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n 87→\t\t\t\treturn p.scope, id\n 88→\t\t\t}\n 89→\t\t}\n 90→\t}\n 91→\n 92→\treturn name, \"\"\n 93→}\n 94→\n 95→// parquetArchiveWriter supports incremental writes to a Parquet file.\n 96→// Each call to WriteHostRows writes one row group (typically one host's data),\n 97→// avoiding accumulation of all rows in memory.\n 98→type parquetArchiveWriter struct {\n 99→\twriter *pq.GenericWriter[ParquetMetricRow]\n 100→\tbw *bufio.Writer\n 101→\tf *os.File\n 102→\tcount int\n 103→}\n 104→\n 105→// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\n 106→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n 107→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n 108→\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n 109→\t}\n 110→\n 111→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 112→\tif err != nil {\n 113→\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n 114→\t}\n 115→\n 116→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n 117→\n 118→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n 119→\t\tpq.Compression(&pq.Zstd),\n 120→\t)\n 121→\n 122→\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n 123→}\n 124→\n 125→// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n 126→// and flushes to create a separate row group.\n 127→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n 128→\tsort.Slice(rows, func(i, j int) bool {\n 129→\t\tif rows[i].Metric != rows[j].Metric {\n 130→\t\t\treturn rows[i].Metric < rows[j].Metric\n 131→\t\t}\n 132→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n 133→\t})\n 134→\n 135→\tif _, err := w.writer.Write(rows); err != nil {\n 136→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n 137→\t}\n 138→\n 139→\tif err := w.writer.Flush(); err != nil {\n 140→\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n 141→\t}\n 142→\n 143→\tw.count += len(rows)\n 144→\treturn nil\n 145→}\n 146→\n 147→// Close finalises the Parquet file (footer, buffered I/O, file handle).\n 148→func (w *parquetArchiveWriter) Close() error {\n 149→\tif err := w.writer.Close(); err != nil {\n 150→\t\tw.f.Close()\n 151→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n 152→\t}\n 153→\n 154→\tif err := w.bw.Flush(); err != nil {\n 155→\t\tw.f.Close()\n 156→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n 157→\t}\n 158→\n 159→\treturn w.f.Close()\n 160→}\n 161→\n 162→// sortParquetRows sorts rows by (metric, timestamp) in-place.\n 163→func sortParquetRows(rows []ParquetMetricRow) {\n 164→\tsort.Slice(rows, func(i, j int) bool {\n 165→\t\tif rows[i].Metric != rows[j].Metric {\n 166→\t\t\treturn rows[i].Metric < rows[j].Metric\n 167→\t\t}\n 168→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n 169→\t})\n 170→}\n 171→\n 172→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n 173→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n 174→// before converting it to Parquet format.\n 175→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n 176→\tf, err := os.Open(filename)\n 177→\tif err != nil {\n 178→\t\treturn nil, err\n 179→\t}\n 180→\tdefer f.Close()\n 181→\n 182→\text := filepath.Ext(filename)\n 183→\tswitch ext {\n 184→\tcase \".json\":\n 185→\t\tcf := &CheckpointFile{}\n 186→\t\tbr := bufio.NewReader(f)\n 187→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 188→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n 189→\t\t}\n 190→\t\treturn cf, nil\n 191→\n 192→\tcase \".bin\":\n 193→\t\tbr := bufio.NewReader(f)\n 194→\t\tvar magic uint32\n 195→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n 196→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n 197→\t\t}\n 198→\t\tif magic != snapFileMagic {\n 199→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n 200→\t\t}\n 201→\t\tvar fileFrom, fileTo int64\n 202→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n 203→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n 204→\t\t}\n 205→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n 206→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n 207→\t\t}\n 208→\t\tcf, err := readBinaryLevel(br)\n 209→\t\tif err != nil {\n 210→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n 211→\t\t}\n 212→\t\tcf.From = fileFrom\n 213→\t\tcf.To = fileTo\n 214→\t\treturn cf, nil\n 215→\n 216→\tdefault:\n 217→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n 218→\t}\n 219→}\n 220→\n 221→// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n 222→// Used for pre-allocating the rows slice to avoid repeated append doubling.\n 223→func estimateRowCount(cf *CheckpointFile) int {\n 224→\tn := 0\n 225→\tfor _, cm := range cf.Metrics {\n 226→\t\tn += len(cm.Data)\n 227→\t}\n 228→\tfor _, child := range cf.Children {\n 229→\t\tn += estimateRowCount(child)\n 230→\t}\n 231→\treturn n\n 232→}\n 233→\n 234→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n 235→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n 236→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n 237→\tentries, err := os.ReadDir(dir)\n 238→\tif err != nil {\n 239→\t\treturn nil, nil, err\n 240→\t}\n 241→\n 242→\tfiles, err := findFiles(entries, from, false)\n 243→\tif err != nil {\n 244→\t\treturn nil, nil, err\n 245→\t}\n 246→\n 247→\tif len(files) == 0 {\n 248→\t\treturn nil, nil, nil\n 249→\t}\n 250→\n 251→\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n 252→\ttype loaded struct {\n 253→\t\tcf *CheckpointFile\n 254→\t\tfilename string\n 255→\t}\n 256→\tvar checkpoints []loaded\n 257→\ttotalEstimate := 0\n 258→\n 259→\tfor _, checkpoint := range files {\n 260→\t\tfilename := filepath.Join(dir, checkpoint)\n 261→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n 262→\t\tif err != nil {\n 263→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n 264→\t\t\tcontinue\n 265→\t\t}\n 266→\t\ttotalEstimate += estimateRowCount(cf)\n 267→\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n 268→\t}\n 269→\n 270→\tif len(checkpoints) == 0 {\n 271→\t\treturn nil, nil, nil\n 272→\t}\n 273→\n 274→\trows := make([]ParquetMetricRow, 0, totalEstimate)\n 275→\tprocessedFiles := make([]string, 0, len(checkpoints))\n 276→\n 277→\tfor _, cp := range checkpoints {\n 278→\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n 279→\t\tprocessedFiles = append(processedFiles, cp.filename)\n 280→\t}\n 281→\n 282→\treturn rows, processedFiles, nil\n 283→}\n 284→"}]},"uuid":"0b8f00ca-48da-4b9c-a3e9-265029b39781","timestamp":"2026-03-18T04:02:36.395Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"3fbe0910-10c9-48c1-9b6b-7929c4eba811","timestamp":"2026-03-18T04:02:36.577Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"3fbe0910-10c9-48c1-9b6b-7929c4eba811","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:36.586Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ULJYijTpziGQzPKDoh72Lk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LEnHcZQkV5PNC7XPaU6Pgb","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3719,"cache_read_input_tokens":16823,"cache_creation":{"ephemeral_5m_input_tokens":3719,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t2e129wRWTNYzo4qWQ","uuid":"9e242273-61e4-4ce0-846d-9e2c3aa40927"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"912f12d8-7474-41e1-8f48-739a31adb3d8","timestamp":"2026-03-18T04:02:36.586Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"912f12d8-7474-41e1-8f48-739a31adb3d8","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LEnHcZQkV5PNC7XPaU6Pgb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package parquet\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"path\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tpq \"github.com/parquet-go/parquet-go\"\n 18→)\n 19→\n 20→// ParquetWriter batches ParquetJobRows and flushes them to a target\n 21→// when the estimated size exceeds maxSizeBytes.\n 22→type ParquetWriter struct {\n 23→\ttarget ParquetTarget\n 24→\tmaxSizeBytes int64\n 25→\trows []ParquetJobRow\n 26→\tcurrentSize int64\n 27→\tfileCounter int\n 28→\tdatePrefix string\n 29→}\n 30→\n 31→// NewParquetWriter creates a new writer that flushes batches to the given target.\n 32→// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\n 33→func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n 34→\treturn &ParquetWriter{\n 35→\t\ttarget: target,\n 36→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n 37→\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n 38→\t}\n 39→}\n 40→\n 41→// AddJob adds a row to the current batch. If the estimated batch size\n 42→// exceeds the configured maximum, the batch is flushed to the target first.\n 43→func (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n 44→\trowSize := estimateRowSize(&row)\n 45→\n 46→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n 47→\t\tif err := pw.Flush(); err != nil {\n 48→\t\t\treturn err\n 49→\t\t}\n 50→\t}\n 51→\n 52→\tpw.rows = append(pw.rows, row)\n 53→\tpw.currentSize += rowSize\n 54→\treturn nil\n 55→}\n 56→\n 57→// Flush writes the current batch to a parquet file on the target.\n 58→func (pw *ParquetWriter) Flush() error {\n 59→\tif len(pw.rows) == 0 {\n 60→\t\treturn nil\n 61→\t}\n 62→\n 63→\tpw.fileCounter++\n 64→\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n 65→\n 66→\tdata, err := writeParquetBytes(pw.rows)\n 67→\tif err != nil {\n 68→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n 69→\t}\n 70→\n 71→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n 72→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n 73→\t}\n 74→\n 75→\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n 76→\tpw.rows = pw.rows[:0]\n 77→\tpw.currentSize = 0\n 78→\treturn nil\n 79→}\n 80→\n 81→// Close flushes any remaining rows and finalizes the writer.\n 82→func (pw *ParquetWriter) Close() error {\n 83→\treturn pw.Flush()\n 84→}\n 85→\n 86→func writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n 87→\tvar buf bytes.Buffer\n 88→\n 89→\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n 90→\t\tpq.Compression(&pq.Zstd),\n 91→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n 92→\t\t\tpq.Ascending(\"sub_cluster\"),\n 93→\t\t\tpq.Ascending(\"project\"),\n 94→\t\t\tpq.Ascending(\"start_time\"),\n 95→\t\t)),\n 96→\t)\n 97→\n 98→\tif _, err := writer.Write(rows); err != nil {\n 99→\t\treturn nil, err\n 100→\t}\n 101→\tif err := writer.Close(); err != nil {\n 102→\t\treturn nil, err\n 103→\t}\n 104→\n 105→\treturn buf.Bytes(), nil\n 106→}\n 107→\n 108→func estimateRowSize(row *ParquetJobRow) int64 {\n 109→\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n 110→\tsize := int64(200)\n 111→\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n 112→\t\tlen(row.Project) + len(row.User) + len(row.State))\n 113→\tsize += int64(len(row.ResourcesJSON))\n 114→\tsize += int64(len(row.StatisticsJSON))\n 115→\tsize += int64(len(row.TagsJSON))\n 116→\tsize += int64(len(row.MetaDataJSON))\n 117→\tsize += int64(len(row.FootprintJSON))\n 118→\tsize += int64(len(row.EnergyFootJSON))\n 119→\tsize += int64(len(row.MetricDataGz))\n 120→\treturn size\n 121→}\n 122→\n 123→// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\n 124→type prefixedTarget struct {\n 125→\tinner ParquetTarget\n 126→\tprefix string\n 127→}\n 128→\n 129→func (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n 130→\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n 131→}\n 132→\n 133→// ClusterAwareParquetWriter organizes Parquet output by cluster.\n 134→// Each cluster gets its own subdirectory with a cluster.json config file.\n 135→type ClusterAwareParquetWriter struct {\n 136→\ttarget ParquetTarget\n 137→\tmaxSizeMB int\n 138→\twriters map[string]*ParquetWriter\n 139→\tclusterCfgs map[string]*schema.Cluster\n 140→}\n 141→\n 142→// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\n 143→func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n 144→\treturn &ClusterAwareParquetWriter{\n 145→\t\ttarget: target,\n 146→\t\tmaxSizeMB: maxSizeMB,\n 147→\t\twriters: make(map[string]*ParquetWriter),\n 148→\t\tclusterCfgs: make(map[string]*schema.Cluster),\n 149→\t}\n 150→}\n 151→\n 152→// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\n 153→func (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n 154→\tcw.clusterCfgs[name] = cfg\n 155→}\n 156→\n 157→// AddJob routes the job row to the appropriate per-cluster writer.\n 158→func (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n 159→\tcluster := row.Cluster\n 160→\tpw, ok := cw.writers[cluster]\n 161→\tif !ok {\n 162→\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n 163→\t\tcw.writers[cluster] = pw\n 164→\t}\n 165→\treturn pw.AddJob(row)\n 166→}\n 167→\n 168→// Close writes cluster.json files and flushes all per-cluster writers.\n 169→func (cw *ClusterAwareParquetWriter) Close() error {\n 170→\tfor name, cfg := range cw.clusterCfgs {\n 171→\t\tdata, err := json.MarshalIndent(cfg, \"\", \" \")\n 172→\t\tif err != nil {\n 173→\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n 174→\t\t}\n 175→\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n 176→\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n 177→\t\t}\n 178→\t}\n 179→\n 180→\tfor cluster, pw := range cw.writers {\n 181→\t\tif err := pw.Close(); err != nil {\n 182→\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n 183→\t\t}\n 184→\t}\n 185→\treturn nil\n 186→}\n 187→"}]},"uuid":"1112516e-76fc-42b2-9709-8c6466b84dd7","timestamp":"2026-03-18T04:02:36.604Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"dbd83243-3f80-41dd-a55a-79a9516936db","timestamp":"2026-03-18T04:02:36.837Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"dbd83243-3f80-41dd-a55a-79a9516936db","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:36.838Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ULJYijTpziGQzPKDoh72Lk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GNs92J7Re4V1XiEhUdVFzR","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3719,"cache_read_input_tokens":16823,"cache_creation":{"ephemeral_5m_input_tokens":3719,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t2e129wRWTNYzo4qWQ","uuid":"f55eb714-1e29-45f7-9d83-a91dc0b23ceb"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"5143d6be-379b-4abf-a157-a66bd9488b93","timestamp":"2026-03-18T04:02:36.839Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"5143d6be-379b-4abf-a157-a66bd9488b93","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GNs92J7Re4V1XiEhUdVFzR","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package parquet\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"fmt\"\n 11→\t\"time\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\tpq \"github.com/parquet-go/parquet-go\"\n 15→)\n 16→\n 17→// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n 18→// when the estimated size exceeds maxSizeBytes.\n 19→type NodeStateParquetWriter struct {\n 20→\ttarget ParquetTarget\n 21→\tmaxSizeBytes int64\n 22→\trows []ParquetNodeStateRow\n 23→\tcurrentSize int64\n 24→\tfileCounter int\n 25→\tdatePrefix string\n 26→}\n 27→\n 28→// NewNodeStateParquetWriter creates a new writer for node state parquet files.\n 29→func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n 30→\treturn &NodeStateParquetWriter{\n 31→\t\ttarget: target,\n 32→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n 33→\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n 34→\t}\n 35→}\n 36→\n 37→// AddRow adds a row to the current batch. If the estimated batch size\n 38→// exceeds the configured maximum, the batch is flushed first.\n 39→func (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n 40→\trowSize := estimateNodeStateRowSize(&row)\n 41→\n 42→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n 43→\t\tif err := pw.Flush(); err != nil {\n 44→\t\t\treturn err\n 45→\t\t}\n 46→\t}\n 47→\n 48→\tpw.rows = append(pw.rows, row)\n 49→\tpw.currentSize += rowSize\n 50→\treturn nil\n 51→}\n 52→\n 53→// Flush writes the current batch to a parquet file on the target.\n 54→func (pw *NodeStateParquetWriter) Flush() error {\n 55→\tif len(pw.rows) == 0 {\n 56→\t\treturn nil\n 57→\t}\n 58→\n 59→\tpw.fileCounter++\n 60→\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n 61→\n 62→\tdata, err := writeNodeStateParquetBytes(pw.rows)\n 63→\tif err != nil {\n 64→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n 65→\t}\n 66→\n 67→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n 68→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n 69→\t}\n 70→\n 71→\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n 72→\tpw.rows = pw.rows[:0]\n 73→\tpw.currentSize = 0\n 74→\treturn nil\n 75→}\n 76→\n 77→// Close flushes any remaining rows and finalizes the writer.\n 78→func (pw *NodeStateParquetWriter) Close() error {\n 79→\treturn pw.Flush()\n 80→}\n 81→\n 82→func writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n 83→\tvar buf bytes.Buffer\n 84→\n 85→\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n 86→\t\tpq.Compression(&pq.Zstd),\n 87→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n 88→\t\t\tpq.Ascending(\"cluster\"),\n 89→\t\t\tpq.Ascending(\"subcluster\"),\n 90→\t\t\tpq.Ascending(\"hostname\"),\n 91→\t\t\tpq.Ascending(\"time_stamp\"),\n 92→\t\t)),\n 93→\t)\n 94→\n 95→\tif _, err := writer.Write(rows); err != nil {\n 96→\t\treturn nil, err\n 97→\t}\n 98→\tif err := writer.Close(); err != nil {\n 99→\t\treturn nil, err\n 100→\t}\n 101→\n 102→\treturn buf.Bytes(), nil\n 103→}\n 104→\n 105→func estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n 106→\tsize := int64(100) // fixed numeric fields\n 107→\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n 108→\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n 109→\treturn size\n 110→}\n 111→"}]},"uuid":"5139460a-6d14-44e6-83e4-ce582368071b","timestamp":"2026-03-18T04:02:36.857Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"f80b2e80-bf73-4f8f-bf82-05cad2523928","timestamp":"2026-03-18T04:02:37.006Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"f80b2e80-bf73-4f8f-bf82-05cad2523928","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:37.266Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ULJYijTpziGQzPKDoh72Lk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Wj3vVSDce66Km9qWrNXm72","name":"Grep","input":{"pattern":"pq\\.|parquet","type":"go","output_mode":"files_with_matches"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3719,"cache_read_input_tokens":16823,"cache_creation":{"ephemeral_5m_input_tokens":3719,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t2e129wRWTNYzo4qWQ","uuid":"c792760f-0161-48db-9cbf-1cf55c420aee"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"e3b1ea2a-7c1f-4eb4-ba95-4074831ad960","timestamp":"2026-03-18T04:02:37.267Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"e3b1ea2a-7c1f-4eb4-ba95-4074831ad960","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wj3vVSDce66Km9qWrNXm72","type":"tool_result","content":"Found 17 files\npkg/metricstore/parquetArchive_test.go\npkg/metricstore/archive.go\npkg/metricstore/parquetArchive.go\ninternal/config/schema.go\ntools/archive-manager/main.go\npkg/archive/parquet/writer_test.go\npkg/archive/parquet/convert_test.go\npkg/archive/parquet/nodestate_schema.go\npkg/archive/parquet/nodestate_writer.go\npkg/archive/parquet/reader.go\npkg/archive/parquet/schema.go\npkg/archive/parquet/target.go\npkg/archive/parquet/writer.go\npkg/archive/parquet/convert.go\npkg/archive/ConfigSchema.go\ninternal/taskmanager/nodestateRetentionService.go\ninternal/taskmanager/retentionService.go"}]},"uuid":"47923385-27f4-4f38-b9f0-b4693ec6fadc","timestamp":"2026-03-18T04:02:37.291Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"bd97689c-8f4f-42db-9f49-56507502b3a7","timestamp":"2026-03-18T04:02:37.389Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"bd97689c-8f4f-42db-9f49-56507502b3a7","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:39.537Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AGhRwzpLPizPqmLZJmbUqk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019UUYjj6J4QJS6RmAgcJTSo","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8899,"cache_read_input_tokens":20542,"cache_creation":{"ephemeral_5m_input_tokens":8899,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t2qQ8AnpMjGLdf6L1a","uuid":"ef5cde9a-8206-4fe9-8e6e-2851ea3446cc"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"e994be56-621a-458a-9404-8649dd75d275","timestamp":"2026-03-18T04:02:39.537Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"e994be56-621a-458a-9404-8649dd75d275","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019UUYjj6J4QJS6RmAgcJTSo","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\t\"os\"\n 12→\t\"path/filepath\"\n 13→\t\"strconv\"\n 14→\t\"strings\"\n 15→\t\"time\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\t\"github.com/go-co-op/gocron/v2\"\n 22→)\n 23→\n 24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n 25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n 26→\tswitch cfg.TargetKind {\n 27→\tcase \"s3\":\n 28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n 29→\t\t\tEndpoint: cfg.TargetEndpoint,\n 30→\t\t\tBucket: cfg.TargetBucket,\n 31→\t\t\tAccessKey: cfg.TargetAccessKey,\n 32→\t\t\tSecretKey: cfg.TargetSecretKey,\n 33→\t\t\tRegion: cfg.TargetRegion,\n 34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n 35→\t\t})\n 36→\tdefault:\n 37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n 38→\t}\n 39→}\n 40→\n 41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n 42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n 43→\tvar raw json.RawMessage\n 44→\tvar err error\n 45→\n 46→\tswitch cfg.TargetKind {\n 47→\tcase \"s3\":\n 48→\t\traw, err = json.Marshal(map[string]any{\n 49→\t\t\t\"kind\": \"s3\",\n 50→\t\t\t\"endpoint\": cfg.TargetEndpoint,\n 51→\t\t\t\"bucket\": cfg.TargetBucket,\n 52→\t\t\t\"access-key\": cfg.TargetAccessKey,\n 53→\t\t\t\"secret-key\": cfg.TargetSecretKey,\n 54→\t\t\t\"region\": cfg.TargetRegion,\n 55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n 56→\t\t})\n 57→\tdefault:\n 58→\t\traw, err = json.Marshal(map[string]string{\n 59→\t\t\t\"kind\": \"file\",\n 60→\t\t\t\"path\": cfg.TargetPath,\n 61→\t\t})\n 62→\t}\n 63→\tif err != nil {\n 64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n 65→\t}\n 66→\treturn archive.InitBackend(raw)\n 67→}\n 68→\n 69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n 70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n 71→\t// Transfer cluster configs for all clusters referenced by jobs\n 72→\tclustersDone := make(map[string]bool)\n 73→\tfor _, job := range jobs {\n 74→\t\tif clustersDone[job.Cluster] {\n 75→\t\t\tcontinue\n 76→\t\t}\n 77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n 78→\t\tif err != nil {\n 79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n 80→\t\t} else {\n 81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n 82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n 83→\t\t\t}\n 84→\t\t}\n 85→\t\tclustersDone[job.Cluster] = true\n 86→\t}\n 87→\n 88→\tfor _, job := range jobs {\n 89→\t\tmeta, err := src.LoadJobMeta(job)\n 90→\t\tif err != nil {\n 91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n 92→\t\t\tcontinue\n 93→\t\t}\n 94→\t\tdata, err := src.LoadJobData(job)\n 95→\t\tif err != nil {\n 96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n 97→\t\t\tcontinue\n 98→\t\t}\n 99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n 100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n 101→\t\t\tcontinue\n 102→\t\t}\n 103→\t}\n 104→\treturn nil\n 105→}\n 106→\n 107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n 108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n 109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n 110→\n 111→\t// Set cluster configs for all clusters referenced by jobs\n 112→\tclustersDone := make(map[string]bool)\n 113→\tfor _, job := range jobs {\n 114→\t\tif clustersDone[job.Cluster] {\n 115→\t\t\tcontinue\n 116→\t\t}\n 117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n 118→\t\tif err != nil {\n 119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n 120→\t\t} else {\n 121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n 122→\t\t}\n 123→\t\tclustersDone[job.Cluster] = true\n 124→\t}\n 125→\n 126→\tfor _, job := range jobs {\n 127→\t\tmeta, err := src.LoadJobMeta(job)\n 128→\t\tif err != nil {\n 129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n 130→\t\t\tcontinue\n 131→\t\t}\n 132→\t\tdata, err := src.LoadJobData(job)\n 133→\t\tif err != nil {\n 134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n 135→\t\t\tcontinue\n 136→\t\t}\n 137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n 138→\t\tif err != nil {\n 139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n 140→\t\t\tcontinue\n 141→\t\t}\n 142→\t\tif err := cw.AddJob(*row); err != nil {\n 143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n 144→\t\t\tcontinue\n 145→\t\t}\n 146→\t}\n 147→\n 148→\treturn cw.Close()\n 149→}\n 150→\n 151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n 152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n 153→\tarchive.GetHandle().CleanUp(jobs)\n 154→\n 155→\tif includeDB {\n 156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n 157→\t\tif err != nil {\n 158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n 159→\t\t} else {\n 160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n 161→\t\t}\n 162→\t\tif err = jobRepo.Optimize(); err != nil {\n 163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n 164→\t\t}\n 165→\t}\n 166→}\n 167→\n 168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n 169→func readCopyMarker(cfg Retention) int64 {\n 170→\tvar data []byte\n 171→\tvar err error\n 172→\n 173→\tswitch cfg.TargetKind {\n 174→\tcase \"s3\":\n 175→\t\t// For S3 we store the marker locally alongside the config\n 176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n 177→\tdefault:\n 178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n 179→\t}\n 180→\tif err != nil {\n 181→\t\treturn 0\n 182→\t}\n 183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n 184→\tif err != nil {\n 185→\t\treturn 0\n 186→\t}\n 187→\treturn ts\n 188→}\n 189→\n 190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n 191→func writeCopyMarker(cfg Retention, ts int64) {\n 192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n 193→\tvar err error\n 194→\n 195→\tswitch cfg.TargetKind {\n 196→\tcase \"s3\":\n 197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n 198→\tdefault:\n 199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n 200→\t}\n 201→\tif err != nil {\n 202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n 203→\t}\n 204→}\n 205→\n 206→func copyMarkerPath(cfg Retention) string {\n 207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n 208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n 209→}\n 210→\n 211→func RegisterRetentionDeleteService(cfg Retention) {\n 212→\tcclog.Info(\"Register retention delete service\")\n 213→\n 214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n 215→\t\tgocron.NewTask(\n 216→\t\t\tfunc() {\n 217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n 218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n 219→\t\t\t\tif err != nil {\n 220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n 221→\t\t\t\t\treturn\n 222→\t\t\t\t}\n 223→\t\t\t\tif len(jobs) == 0 {\n 224→\t\t\t\t\treturn\n 225→\t\t\t\t}\n 226→\n 227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n 228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n 229→\t\t\t}))\n 230→}\n 231→\n 232→func RegisterRetentionCopyService(cfg Retention) {\n 233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n 234→\n 235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 236→\tif maxFileSizeMB <= 0 {\n 237→\t\tmaxFileSizeMB = 512\n 238→\t}\n 239→\n 240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n 241→\t\tgocron.NewTask(\n 242→\t\t\tfunc() {\n 243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n 244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n 245→\n 246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n 247→\t\t\t\tif err != nil {\n 248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n 249→\t\t\t\t\treturn\n 250→\t\t\t\t}\n 251→\t\t\t\tif len(jobs) == 0 {\n 252→\t\t\t\t\treturn\n 253→\t\t\t\t}\n 254→\n 255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n 256→\t\t\t\tar := archive.GetHandle()\n 257→\n 258→\t\t\t\tswitch cfg.Format {\n 259→\t\t\t\tcase \"parquet\":\n 260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n 261→\t\t\t\t\tif err != nil {\n 262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n 263→\t\t\t\t\t\treturn\n 264→\t\t\t\t\t}\n 265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n 266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n 267→\t\t\t\t\t\treturn\n 268→\t\t\t\t\t}\n 269→\t\t\t\tdefault: // json\n 270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n 271→\t\t\t\t\tif err != nil {\n 272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n 273→\t\t\t\t\t\treturn\n 274→\t\t\t\t\t}\n 275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n 276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n 277→\t\t\t\t\t\treturn\n 278→\t\t\t\t\t}\n 279→\t\t\t\t}\n 280→\n 281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n 282→\t\t\t}))\n 283→}\n 284→\n 285→func RegisterRetentionMoveService(cfg Retention) {\n 286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n 287→\n 288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 289→\tif maxFileSizeMB <= 0 {\n 290→\t\tmaxFileSizeMB = 512\n 291→\t}\n 292→\n 293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n 294→\t\tgocron.NewTask(\n 295→\t\t\tfunc() {\n 296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n 297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n 298→\t\t\t\tif err != nil {\n 299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n 300→\t\t\t\t\treturn\n 301→\t\t\t\t}\n 302→\t\t\t\tif len(jobs) == 0 {\n 303→\t\t\t\t\treturn\n 304→\t\t\t\t}\n 305→\n 306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n 307→\t\t\t\tar := archive.GetHandle()\n 308→\n 309→\t\t\t\tswitch cfg.Format {\n 310→\t\t\t\tcase \"parquet\":\n 311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n 312→\t\t\t\t\tif err != nil {\n 313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n 314→\t\t\t\t\t\treturn\n 315→\t\t\t\t\t}\n 316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n 317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n 318→\t\t\t\t\t\treturn\n 319→\t\t\t\t\t}\n 320→\t\t\t\tdefault: // json\n 321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n 322→\t\t\t\t\tif err != nil {\n 323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n 324→\t\t\t\t\t\treturn\n 325→\t\t\t\t\t}\n 326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n 327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n 328→\t\t\t\t\t\treturn\n 329→\t\t\t\t\t}\n 330→\t\t\t\t}\n 331→\n 332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n 333→\t\t\t}))\n 334→}\n 335→"}]},"uuid":"9c55ee61-e630-466b-8ade-4bc796ede8ec","timestamp":"2026-03-18T04:02:39.550Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"5fcacfb4-089a-4e6c-aa2c-47de7b6497db","timestamp":"2026-03-18T04:02:39.550Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"5fcacfb4-089a-4e6c-aa2c-47de7b6497db","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:39.598Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AGhRwzpLPizPqmLZJmbUqk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N4KBTu1ntjU3HDvgueA7nE","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8899,"cache_read_input_tokens":20542,"cache_creation":{"ephemeral_5m_input_tokens":8899,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t2qQ8AnpMjGLdf6L1a","uuid":"0c39e88d-3034-4854-be9d-5fd33b207b30"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"021c6590-b1e0-4880-a2ac-ed0a85ce8b0b","timestamp":"2026-03-18T04:02:39.598Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"021c6590-b1e0-4880-a2ac-ed0a85ce8b0b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N4KBTu1ntjU3HDvgueA7nE","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/go-co-op/gocron/v2\"\n 16→)\n 17→\n 18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n 19→\tcclog.Info(\"Register node state retention delete service\")\n 20→\n 21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n 22→\t\tgocron.NewTask(\n 23→\t\t\tfunc() {\n 24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n 25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n 26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n 27→\t\t\t\tif err != nil {\n 28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n 29→\t\t\t\t} else if cnt > 0 {\n 30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n 31→\t\t\t\t}\n 32→\t\t\t}))\n 33→}\n 34→\n 35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n 36→\tcclog.Info(\"Register node state retention move service\")\n 37→\n 38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 39→\tif maxFileSizeMB <= 0 {\n 40→\t\tmaxFileSizeMB = 128\n 41→\t}\n 42→\n 43→\tageHours := cfg.Age\n 44→\tif ageHours <= 0 {\n 45→\t\tageHours = 24\n 46→\t}\n 47→\n 48→\tvar target pqarchive.ParquetTarget\n 49→\tvar err error\n 50→\n 51→\tswitch cfg.TargetKind {\n 52→\tcase \"s3\":\n 53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n 54→\t\t\tEndpoint: cfg.TargetEndpoint,\n 55→\t\t\tBucket: cfg.TargetBucket,\n 56→\t\t\tAccessKey: cfg.TargetAccessKey,\n 57→\t\t\tSecretKey: cfg.TargetSecretKey,\n 58→\t\t\tRegion: cfg.TargetRegion,\n 59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n 60→\t\t})\n 61→\tdefault:\n 62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n 63→\t}\n 64→\n 65→\tif err != nil {\n 66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n 67→\t\treturn\n 68→\t}\n 69→\n 70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n 71→\t\tgocron.NewTask(\n 72→\t\t\tfunc() {\n 73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n 74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n 75→\n 76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n 77→\t\t\t\tif err != nil {\n 78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n 79→\t\t\t\t\treturn\n 80→\t\t\t\t}\n 81→\t\t\t\tif len(rows) == 0 {\n 82→\t\t\t\t\treturn\n 83→\t\t\t\t}\n 84→\n 85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n 86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n 87→\n 88→\t\t\t\tfor _, ns := range rows {\n 89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n 90→\t\t\t\t\t\tTimeStamp: ns.TimeStamp,\n 91→\t\t\t\t\t\tNodeState: ns.NodeState,\n 92→\t\t\t\t\t\tHealthState: ns.HealthState,\n 93→\t\t\t\t\t\tHealthMetrics: ns.HealthMetrics,\n 94→\t\t\t\t\t\tCpusAllocated: int32(ns.CpusAllocated),\n 95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n 96→\t\t\t\t\t\tGpusAllocated: int32(ns.GpusAllocated),\n 97→\t\t\t\t\t\tJobsRunning: int32(ns.JobsRunning),\n 98→\t\t\t\t\t\tHostname: ns.Hostname,\n 99→\t\t\t\t\t\tCluster: ns.Cluster,\n 100→\t\t\t\t\t\tSubCluster: ns.SubCluster,\n 101→\t\t\t\t\t}\n 102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n 103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n 104→\t\t\t\t\t\tcontinue\n 105→\t\t\t\t\t}\n 106→\t\t\t\t}\n 107→\n 108→\t\t\t\tif err := pw.Close(); err != nil {\n 109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n 110→\t\t\t\t\treturn\n 111→\t\t\t\t}\n 112→\n 113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n 114→\t\t\t\tif err != nil {\n 115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n 116→\t\t\t\t} else {\n 117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n 118→\t\t\t\t}\n 119→\t\t\t}))\n 120→}\n 121→"}]},"uuid":"ef5b2bb2-c6c2-4ad6-8de9-f17ad72570d6","timestamp":"2026-03-18T04:02:39.609Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"16ae8feb-f59c-44fd-b541-6d2b7553859c","timestamp":"2026-03-18T04:02:39.610Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"16ae8feb-f59c-44fd-b541-6d2b7553859c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:39.755Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AGhRwzpLPizPqmLZJmbUqk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B3qau1at87zKUnxbhjYBLe","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8899,"cache_read_input_tokens":20542,"cache_creation":{"ephemeral_5m_input_tokens":8899,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t2qQ8AnpMjGLdf6L1a","uuid":"a785207e-c3ee-4e7b-884e-ac18e3bc423e"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"4371f6de-6875-46f4-9168-dc00b1848578","timestamp":"2026-03-18T04:02:39.755Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"4371f6de-6875-46f4-9168-dc00b1848578","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B3qau1at87zKUnxbhjYBLe","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"sync\"\n 15→\t\"sync/atomic\"\n 16→\t\"time\"\n 17→\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→)\n 20→\n 21→// Worker for either Archiving or Deleting files\n 22→\n 23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n 24→\tif Keys.Cleanup.Mode == \"archive\" {\n 25→\t\t// Run as Archiver\n 26→\t\tcleanUpWorker(wg, ctx,\n 27→\t\t\tKeys.RetentionInMemory,\n 28→\t\t\t\"archiving\",\n 29→\t\t\tKeys.Cleanup.RootDir,\n 30→\t\t\tfalse,\n 31→\t\t)\n 32→\t} else {\n 33→\t\t// Run as Deleter\n 34→\t\tcleanUpWorker(wg, ctx,\n 35→\t\t\tKeys.RetentionInMemory,\n 36→\t\t\t\"deleting\",\n 37→\t\t\t\"\",\n 38→\t\t\ttrue,\n 39→\t\t)\n 40→\t}\n 41→}\n 42→\n 43→// cleanUpWorker takes simple values to configure what it does\n 44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n 45→\twg.Go(func() {\n 46→\n 47→\t\td, err := time.ParseDuration(interval)\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n 50→\t\t}\n 51→\t\tif d <= 0 {\n 52→\t\t\treturn\n 53→\t\t}\n 54→\n 55→\t\tticker := time.NewTicker(d)\n 56→\t\tdefer ticker.Stop()\n 57→\n 58→\t\tfor {\n 59→\t\t\tselect {\n 60→\t\t\tcase <-ctx.Done():\n 61→\t\t\t\treturn\n 62→\t\t\tcase <-ticker.C:\n 63→\t\t\t\tt := time.Now().Add(-d)\n 64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n 65→\n 66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n 67→\n 68→\t\t\t\tif err != nil {\n 69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n 70→\t\t\t\t} else {\n 71→\t\t\t\t\tif delete {\n 72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n 73→\t\t\t\t\t} else {\n 74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n 75→\t\t\t\t\t}\n 76→\t\t\t\t}\n 77→\t\t\t}\n 78→\t\t}\n 79→\t})\n 80→}\n 81→\n 82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n 83→\n 84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n 85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n 86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n 87→\tif deleteInstead {\n 88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n 89→\t}\n 90→\n 91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n 92→}\n 93→\n 94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n 95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n 96→\tentries1, err := os.ReadDir(checkpointsDir)\n 97→\tif err != nil {\n 98→\t\treturn 0, err\n 99→\t}\n 100→\n 101→\ttype workItem struct {\n 102→\t\tdir string\n 103→\t\tcluster, host string\n 104→\t}\n 105→\n 106→\tvar wg sync.WaitGroup\n 107→\tn, errs := int32(0), int32(0)\n 108→\twork := make(chan workItem, Keys.NumWorkers)\n 109→\n 110→\twg.Add(Keys.NumWorkers)\n 111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 112→\t\tgo func() {\n 113→\t\t\tdefer wg.Done()\n 114→\t\t\tfor item := range work {\n 115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n 116→\t\t\t\tif err != nil {\n 117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n 118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 119→\t\t\t\t\tcontinue\n 120→\t\t\t\t}\n 121→\n 122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n 123→\t\t\t\tif err != nil {\n 124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n 125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 126→\t\t\t\t\tcontinue\n 127→\t\t\t\t}\n 128→\n 129→\t\t\t\tfor _, checkpoint := range files {\n 130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n 131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n 132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 133→\t\t\t\t\t} else {\n 134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n 135→\t\t\t\t\t}\n 136→\t\t\t\t}\n 137→\t\t\t}\n 138→\t\t}()\n 139→\t}\n 140→\n 141→\tfor _, de1 := range entries1 {\n 142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n 143→\t\tif e != nil {\n 144→\t\t\terr = e\n 145→\t\t\tcontinue\n 146→\t\t}\n 147→\n 148→\t\tfor _, de2 := range entries2 {\n 149→\t\t\twork <- workItem{\n 150→\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n 151→\t\t\t\tcluster: de1.Name(),\n 152→\t\t\t\thost: de2.Name(),\n 153→\t\t\t}\n 154→\t\t}\n 155→\t}\n 156→\n 157→\tclose(work)\n 158→\twg.Wait()\n 159→\n 160→\tif err != nil {\n 161→\t\treturn int(n), err\n 162→\t}\n 163→\tif errs > 0 {\n 164→\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n 165→\t}\n 166→\treturn int(n), nil\n 167→}\n 168→\n 169→// archiveCheckpoints archives checkpoint files to Parquet format.\n 170→// Produces one Parquet file per cluster: //.parquet\n 171→// Each host's rows are written as a separate row group to avoid accumulating\n 172→// all data in memory at once.\n 173→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n 174→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n 175→\tif err != nil {\n 176→\t\treturn 0, err\n 177→\t}\n 178→\n 179→\ttotalFiles := 0\n 180→\n 181→\tfor _, clusterEntry := range clusterEntries {\n 182→\t\tif !clusterEntry.IsDir() {\n 183→\t\t\tcontinue\n 184→\t\t}\n 185→\n 186→\t\tcluster := clusterEntry.Name()\n 187→\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n 188→\t\tif err != nil {\n 189→\t\t\treturn totalFiles, err\n 190→\t\t}\n 191→\n 192→\t\t// Stream per-host rows to parquet writer via worker pool\n 193→\t\ttype hostResult struct {\n 194→\t\t\trows []ParquetMetricRow\n 195→\t\t\tfiles []string // checkpoint filenames to delete after successful write\n 196→\t\t\tdir string // checkpoint directory for this host\n 197→\t\t}\n 198→\n 199→\t\tresults := make(chan hostResult, len(hostEntries))\n 200→\t\twork := make(chan struct {\n 201→\t\t\tdir, host string\n 202→\t\t}, Keys.NumWorkers)\n 203→\n 204→\t\tvar wg sync.WaitGroup\n 205→\t\terrs := int32(0)\n 206→\n 207→\t\twg.Add(Keys.NumWorkers)\n 208→\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n 209→\t\t\tgo func() {\n 210→\t\t\t\tdefer wg.Done()\n 211→\t\t\t\tfor item := range work {\n 212→\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n 213→\t\t\t\t\tif err != nil {\n 214→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n 215→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 216→\t\t\t\t\t\tcontinue\n 217→\t\t\t\t\t}\n 218→\t\t\t\t\tif len(rows) > 0 {\n 219→\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n 220→\t\t\t\t\t}\n 221→\t\t\t\t}\n 222→\t\t\t}()\n 223→\t\t}\n 224→\n 225→\t\tgo func() {\n 226→\t\t\tfor _, hostEntry := range hostEntries {\n 227→\t\t\t\tif !hostEntry.IsDir() {\n 228→\t\t\t\t\tcontinue\n 229→\t\t\t\t}\n 230→\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n 231→\t\t\t\twork <- struct {\n 232→\t\t\t\t\tdir, host string\n 233→\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n 234→\t\t\t}\n 235→\t\t\tclose(work)\n 236→\t\t\twg.Wait()\n 237→\t\t\tclose(results)\n 238→\t\t}()\n 239→\n 240→\t\t// Open streaming writer and write each host's rows as a row group\n 241→\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n 242→\t\twriter, err := newParquetArchiveWriter(parquetFile)\n 243→\t\tif err != nil {\n 244→\t\t\t// Drain results channel to unblock workers\n 245→\t\t\tfor range results {\n 246→\t\t\t}\n 247→\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n 248→\t\t}\n 249→\n 250→\t\ttype deleteItem struct {\n 251→\t\t\tdir string\n 252→\t\t\tfiles []string\n 253→\t\t}\n 254→\t\tvar toDelete []deleteItem\n 255→\t\twriteErr := error(nil)\n 256→\n 257→\t\tfor r := range results {\n 258→\t\t\tif writeErr == nil {\n 259→\t\t\t\tsortParquetRows(r.rows)\n 260→\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n 261→\t\t\t\t\twriteErr = err\n 262→\t\t\t\t}\n 263→\t\t\t}\n 264→\t\t\t// Always track files for deletion (even if write failed, we still drain)\n 265→\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n 266→\t\t}\n 267→\n 268→\t\tif err := writer.Close(); err != nil && writeErr == nil {\n 269→\t\t\twriteErr = err\n 270→\t\t}\n 271→\n 272→\t\tif errs > 0 {\n 273→\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n 274→\t\t}\n 275→\n 276→\t\tif writer.count == 0 {\n 277→\t\t\t// No data written — remove empty file\n 278→\t\t\tos.Remove(parquetFile)\n 279→\t\t\tcontinue\n 280→\t\t}\n 281→\n 282→\t\tif writeErr != nil {\n 283→\t\t\tos.Remove(parquetFile)\n 284→\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n 285→\t\t}\n 286→\n 287→\t\t// Delete archived checkpoint files\n 288→\t\tfor _, item := range toDelete {\n 289→\t\t\tfor _, file := range item.files {\n 290→\t\t\t\tfilename := filepath.Join(item.dir, file)\n 291→\t\t\t\tif err := os.Remove(filename); err != nil {\n 292→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n 293→\t\t\t\t} else {\n 294→\t\t\t\t\ttotalFiles++\n 295→\t\t\t\t}\n 296→\t\t\t}\n 297→\t\t}\n 298→\n 299→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n 300→\t\t\twriter.count, totalFiles, cluster, parquetFile)"}]},"uuid":"9ba823f7-f70b-408c-85a5-d24ed2584aea","timestamp":"2026-03-18T04:02:39.767Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"c60873cc-1254-4214-8fd0-17084b70fe7c","timestamp":"2026-03-18T04:02:39.768Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"c60873cc-1254-4214-8fd0-17084b70fe7c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:41.641Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AWHr2UiBphViiUHHW6NeMa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YVvSaMDgMEvQWi4BRRMso1","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":10421,"cache_read_input_tokens":29441,"cache_creation":{"ephemeral_5m_input_tokens":10421,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t31LR53o5Nn92ze8es","uuid":"aa4c60c3-11a0-4a0d-9393-483379a940ac"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"2398df2a-0ae1-4580-a133-649d47829f34","timestamp":"2026-03-18T04:02:41.642Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"2398df2a-0ae1-4580-a133-649d47829f34","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YVvSaMDgMEvQWi4BRRMso1","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package parquet\n 7→\n 8→type ParquetJobRow struct {\n 9→\tJobID int64 `parquet:\"job_id\"`\n 10→\tCluster string `parquet:\"cluster\"`\n 11→\tSubCluster string `parquet:\"sub_cluster\"`\n 12→\tPartition string `parquet:\"partition,optional\"`\n 13→\tProject string `parquet:\"project\"`\n 14→\tUser string `parquet:\"user\"`\n 15→\tState string `parquet:\"job_state\"`\n 16→\tStartTime int64 `parquet:\"start_time\"`\n 17→\tDuration int32 `parquet:\"duration\"`\n 18→\tWalltime int64 `parquet:\"walltime\"`\n 19→\tNumNodes int32 `parquet:\"num_nodes\"`\n 20→\tNumHWThreads int32 `parquet:\"num_hwthreads\"`\n 21→\tNumAcc int32 `parquet:\"num_acc\"`\n 22→\tExclusive int32 `parquet:\"exclusive\"`\n 23→\tEnergy float64 `parquet:\"energy\"`\n 24→\tSMT int32 `parquet:\"smt\"`\n 25→\tResourcesJSON []byte `parquet:\"resources_json\"`\n 26→\tStatisticsJSON []byte `parquet:\"statistics_json,optional\"`\n 27→\tTagsJSON []byte `parquet:\"tags_json,optional\"`\n 28→\tMetaDataJSON []byte `parquet:\"meta_data_json,optional\"`\n 29→\tFootprintJSON []byte `parquet:\"footprint_json,optional\"`\n 30→\tEnergyFootJSON []byte `parquet:\"energy_footprint_json,optional\"`\n 31→\tMetricDataGz []byte `parquet:\"metric_data_gz\"`\n 32→}\n 33→"}]},"uuid":"a57898a9-0ae8-42ac-bfc1-94a49bca99bf","timestamp":"2026-03-18T04:02:41.666Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"9b0b6951-9a99-4551-b0ba-5a43ee2efb11","timestamp":"2026-03-18T04:02:41.667Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"9b0b6951-9a99-4551-b0ba-5a43ee2efb11","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:41.709Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AWHr2UiBphViiUHHW6NeMa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NvpbMJSJ2iLPaRPNdsuV4M","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":10421,"cache_read_input_tokens":29441,"cache_creation":{"ephemeral_5m_input_tokens":10421,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t31LR53o5Nn92ze8es","uuid":"06fc7026-1918-43c8-aba5-0b9b6529a6b9"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"c2457994-7087-447d-88c0-d4485b49ba0c","timestamp":"2026-03-18T04:02:41.710Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"c2457994-7087-447d-88c0-d4485b49ba0c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NvpbMJSJ2iLPaRPNdsuV4M","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package parquet\n 7→\n 8→type ParquetNodeStateRow struct {\n 9→\tTimeStamp int64 `parquet:\"time_stamp\"`\n 10→\tNodeState string `parquet:\"node_state\"`\n 11→\tHealthState string `parquet:\"health_state\"`\n 12→\tHealthMetrics string `parquet:\"health_metrics,optional\"`\n 13→\tCpusAllocated int32 `parquet:\"cpus_allocated\"`\n 14→\tMemoryAllocated int64 `parquet:\"memory_allocated\"`\n 15→\tGpusAllocated int32 `parquet:\"gpus_allocated\"`\n 16→\tJobsRunning int32 `parquet:\"jobs_running\"`\n 17→\tHostname string `parquet:\"hostname\"`\n 18→\tCluster string `parquet:\"cluster\"`\n 19→\tSubCluster string `parquet:\"subcluster\"`\n 20→}\n 21→"}]},"uuid":"cf064c48-094c-4ab3-8895-8fe33fcb9443","timestamp":"2026-03-18T04:02:41.718Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"5edc1bdb-e4cd-4aea-9126-0ea3f86d23fa","timestamp":"2026-03-18T04:02:42.137Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} 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files\npkg/archive/parquet/convert_test.go\npkg/archive/parquet/nodestate_schema.go\npkg/archive/parquet/nodestate_writer.go\npkg/archive/parquet/reader.go\npkg/archive/parquet/schema.go\npkg/archive/parquet/writer.go\npkg/archive/parquet/convert.go\ninternal/taskmanager/nodestateRetentionService.go"}]},"uuid":"83ef21d2-0399-4725-b119-64405dc977f4","timestamp":"2026-03-18T04:02:42.227Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"11eee151-b837-4c9a-bf3f-c09cef01cb43","timestamp":"2026-03-18T04:02:42.228Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} 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+{"parentUuid":"91d42c01-6b72-4d41-9852-696f364e6edb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013LMkXWdTD9Mrr8mFng5HZw","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package parquet\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"compress/gzip\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 15→)\n 16→\n 17→// JobToParquetRow converts job metadata and metric data into a flat ParquetJobRow.\n 18→// Nested fields are marshaled to JSON; metric data is gzip-compressed JSON.\n 19→func JobToParquetRow(meta *schema.Job, data *schema.JobData) (*ParquetJobRow, error) {\n 20→\tresourcesJSON, err := json.Marshal(meta.Resources)\n 21→\tif err != nil {\n 22→\t\treturn nil, fmt.Errorf(\"marshal resources: %w\", err)\n 23→\t}\n 24→\n 25→\tvar statisticsJSON []byte\n 26→\tif meta.Statistics != nil {\n 27→\t\tstatisticsJSON, err = json.Marshal(meta.Statistics)\n 28→\t\tif err != nil {\n 29→\t\t\treturn nil, fmt.Errorf(\"marshal statistics: %w\", err)\n 30→\t\t}\n 31→\t}\n 32→\n 33→\tvar tagsJSON []byte\n 34→\tif len(meta.Tags) > 0 {\n 35→\t\ttagsJSON, err = json.Marshal(meta.Tags)\n 36→\t\tif err != nil {\n 37→\t\t\treturn nil, fmt.Errorf(\"marshal tags: %w\", err)\n 38→\t\t}\n 39→\t}\n 40→\n 41→\tvar metaDataJSON []byte\n 42→\tif meta.MetaData != nil {\n 43→\t\tmetaDataJSON, err = json.Marshal(meta.MetaData)\n 44→\t\tif err != nil {\n 45→\t\t\treturn nil, fmt.Errorf(\"marshal metadata: %w\", err)\n 46→\t\t}\n 47→\t}\n 48→\n 49→\tvar footprintJSON []byte\n 50→\tif meta.Footprint != nil {\n 51→\t\tfootprintJSON, err = json.Marshal(meta.Footprint)\n 52→\t\tif err != nil {\n 53→\t\t\treturn nil, fmt.Errorf(\"marshal footprint: %w\", err)\n 54→\t\t}\n 55→\t}\n 56→\n 57→\tvar energyFootJSON []byte\n 58→\tif meta.EnergyFootprint != nil {\n 59→\t\tenergyFootJSON, err = json.Marshal(meta.EnergyFootprint)\n 60→\t\tif err != nil {\n 61→\t\t\treturn nil, fmt.Errorf(\"marshal energy footprint: %w\", err)\n 62→\t\t}\n 63→\t}\n 64→\n 65→\tmetricDataGz, err := compressJobData(data)\n 66→\tif err != nil {\n 67→\t\treturn nil, fmt.Errorf(\"compress metric data: %w\", err)\n 68→\t}\n 69→\n 70→\treturn &ParquetJobRow{\n 71→\t\tJobID: meta.JobID,\n 72→\t\tCluster: meta.Cluster,\n 73→\t\tSubCluster: meta.SubCluster,\n 74→\t\tPartition: meta.Partition,\n 75→\t\tProject: meta.Project,\n 76→\t\tUser: meta.User,\n 77→\t\tState: string(meta.State),\n 78→\t\tStartTime: meta.StartTime,\n 79→\t\tDuration: meta.Duration,\n 80→\t\tWalltime: meta.Walltime,\n 81→\t\tNumNodes: meta.NumNodes,\n 82→\t\tNumHWThreads: meta.NumHWThreads,\n 83→\t\tNumAcc: meta.NumAcc,\n 84→\t\tEnergy: meta.Energy,\n 85→\t\tSMT: meta.SMT,\n 86→\t\tResourcesJSON: resourcesJSON,\n 87→\t\tStatisticsJSON: statisticsJSON,\n 88→\t\tTagsJSON: tagsJSON,\n 89→\t\tMetaDataJSON: metaDataJSON,\n 90→\t\tFootprintJSON: footprintJSON,\n 91→\t\tEnergyFootJSON: energyFootJSON,\n 92→\t\tMetricDataGz: metricDataGz,\n 93→\t}, nil\n 94→}\n 95→\n 96→// ParquetRowToJob converts a ParquetJobRow back into job metadata and metric data.\n 97→// This is the reverse of JobToParquetRow.\n 98→func ParquetRowToJob(row *ParquetJobRow) (*schema.Job, *schema.JobData, error) {\n 99→\tmeta := &schema.Job{\n 100→\t\tJobID: row.JobID,"}]},"uuid":"7b6a47be-a2c0-488e-ba31-b52aea20f0ea","timestamp":"2026-03-18T04:02:43.724Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"1c7c8ba0-45fa-4dcf-a87d-03f5d8f26168","timestamp":"2026-03-18T04:02:43.726Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"1c7c8ba0-45fa-4dcf-a87d-03f5d8f26168","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:45.376Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AeDDgdidv1BEeCrQFmdBTc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RR1p1p9GmJcZsKdnHvrmY8","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer_test.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":1586,"cache_read_input_tokens":41470,"cache_creation":{"ephemeral_5m_input_tokens":1586,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t3JEAaXHwUp2qQFHHG","uuid":"be8ab130-3d8c-4c5e-be06-5c6e300b2aa4"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"b86b4a2f-0e5a-4339-aa72-47e83065dde7","timestamp":"2026-03-18T04:02:45.376Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"b86b4a2f-0e5a-4339-aa72-47e83065dde7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RR1p1p9GmJcZsKdnHvrmY8","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package parquet\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"compress/gzip\"\n 11→\t\"encoding/json\"\n 12→\t\"io\"\n 13→\t\"os\"\n 14→\t\"path/filepath\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"testing\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 20→\tpq \"github.com/parquet-go/parquet-go\"\n 21→)\n 22→\n 23→// memTarget collects written files in memory for testing.\n 24→type memTarget struct {\n 25→\tmu sync.Mutex\n 26→\tfiles map[string][]byte\n 27→}\n 28→\n 29→func newMemTarget() *memTarget {\n 30→\treturn &memTarget{files: make(map[string][]byte)}\n 31→}\n 32→\n 33→func (m *memTarget) WriteFile(name string, data []byte) error {\n 34→\tm.mu.Lock()\n 35→\tdefer m.mu.Unlock()\n 36→\tm.files[name] = append([]byte(nil), data...)\n 37→\treturn nil\n 38→}\n 39→\n 40→func makeTestJob(jobID int64) (*schema.Job, *schema.JobData) {\n 41→\tmeta := &schema.Job{\n 42→\t\tJobID: jobID,\n 43→\t\tCluster: \"testcluster\",\n 44→\t\tSubCluster: \"sc0\",\n 45→\t\tProject: \"testproject\",\n 46→\t\tUser: \"testuser\",\n 47→\t\tState: schema.JobStateCompleted,\n 48→\t\tStartTime: 1700000000,\n 49→\t\tDuration: 3600,\n 50→\t\tWalltime: 7200,\n 51→\t\tNumNodes: 2,\n 52→\t\tNumHWThreads: 16,\n 53→\t\tSMT: 1,\n 54→\t\tResources: []*schema.Resource{\n 55→\t\t\t{Hostname: \"node001\"},\n 56→\t\t\t{Hostname: \"node002\"},\n 57→\t\t},\n 58→\t}\n 59→\n 60→\tdata := schema.JobData{\n 61→\t\t\"cpu_load\": {\n 62→\t\t\tschema.MetricScopeNode: &schema.JobMetric{\n 63→\t\t\t\tUnit: schema.Unit{Base: \"\"},\n 64→\t\t\t\tTimestep: 60,\n 65→\t\t\t\tSeries: []schema.Series{\n 66→\t\t\t\t\t{\n 67→\t\t\t\t\t\tHostname: \"node001\",\n 68→\t\t\t\t\t\tData: []schema.Float{1.0, 2.0, 3.0},\n 69→\t\t\t\t\t},\n 70→\t\t\t\t},\n 71→\t\t\t},\n 72→\t\t},\n 73→\t}\n 74→\n 75→\treturn meta, &data\n 76→}\n 77→\n 78→func TestJobToParquetRowConversion(t *testing.T) {\n 79→\tmeta, data := makeTestJob(1001)\n 80→\tmeta.Tags = []*schema.Tag{{Type: \"test\", Name: \"tag1\"}}\n 81→\tmeta.MetaData = map[string]string{\"key\": \"value\"}\n 82→\n 83→\trow, err := JobToParquetRow(meta, data)\n 84→\tif err != nil {\n 85→\t\tt.Fatalf(\"JobToParquetRow: %v\", err)\n 86→\t}\n 87→\n 88→\tif row.JobID != 1001 {\n 89→\t\tt.Errorf(\"JobID = %d, want 1001\", row.JobID)\n 90→\t}\n 91→\tif row.Cluster != \"testcluster\" {\n 92→\t\tt.Errorf(\"Cluster = %q, want %q\", row.Cluster, \"testcluster\")\n 93→\t}\n 94→\tif row.User != \"testuser\" {\n 95→\t\tt.Errorf(\"User = %q, want %q\", row.User, \"testuser\")\n 96→\t}\n 97→\tif row.State != \"completed\" {\n 98→\t\tt.Errorf(\"State = %q, want %q\", row.State, \"completed\")\n 99→\t}\n 100→\tif row.NumNodes != 2 {\n 101→\t\tt.Errorf(\"NumNodes = %d, want 2\", row.NumNodes)\n 102→\t}\n 103→\n 104→\t// Verify resources JSON\n 105→\tvar resources []*schema.Resource\n 106→\tif err := json.Unmarshal(row.ResourcesJSON, &resources); err != nil {\n 107→\t\tt.Fatalf(\"unmarshal resources: %v\", err)\n 108→\t}\n 109→\tif len(resources) != 2 {\n 110→\t\tt.Errorf(\"resources len = %d, want 2\", len(resources))\n 111→\t}\n 112→\n 113→\t// Verify tags JSON\n 114→\tvar tags []*schema.Tag\n 115→\tif err := json.Unmarshal(row.TagsJSON, &tags); err != nil {\n 116→\t\tt.Fatalf(\"unmarshal tags: %v\", err)\n 117→\t}\n 118→\tif len(tags) != 1 || tags[0].Name != \"tag1\" {\n 119→\t\tt.Errorf(\"tags = %v, want [{test tag1}]\", tags)\n 120→\t}\n 121→\n 122→\t// Verify metric data is gzip-compressed valid JSON\n 123→\tgz, err := gzip.NewReader(bytes.NewReader(row.MetricDataGz))\n 124→\tif err != nil {\n 125→\t\tt.Fatalf(\"gzip reader: %v\", err)\n 126→\t}\n 127→\tdecompressed, err := io.ReadAll(gz)\n 128→\tif err != nil {\n 129→\t\tt.Fatalf(\"gzip read: %v\", err)\n 130→\t}\n 131→\tvar jobData schema.JobData\n 132→\tif err := json.Unmarshal(decompressed, &jobData); err != nil {\n 133→\t\tt.Fatalf(\"unmarshal metric data: %v\", err)\n 134→\t}\n 135→\tif _, ok := jobData[\"cpu_load\"]; !ok {\n 136→\t\tt.Error(\"metric data missing cpu_load key\")\n 137→\t}\n 138→}\n 139→\n 140→func TestParquetWriterSingleBatch(t *testing.T) {\n 141→\ttarget := newMemTarget()\n 142→\tpw := NewParquetWriter(target, 512)\n 143→\n 144→\tfor i := range int64(5) {\n 145→\t\tmeta, data := makeTestJob(i)\n 146→\t\trow, err := JobToParquetRow(meta, data)\n 147→\t\tif err != nil {\n 148→\t\t\tt.Fatalf(\"convert job %d: %v\", i, err)\n 149→\t\t}\n 150→\t\tif err := pw.AddJob(*row); err != nil {\n 151→\t\t\tt.Fatalf(\"add job %d: %v\", i, err)\n 152→\t\t}\n 153→\t}\n 154→\n 155→\tif err := pw.Close(); err != nil {\n 156→\t\tt.Fatalf(\"close: %v\", err)\n 157→\t}\n 158→\n 159→\tif len(target.files) != 1 {\n 160→\t\tt.Fatalf(\"expected 1 file, got %d\", len(target.files))\n 161→\t}\n 162→\n 163→\t// Verify the parquet file is readable\n 164→\tfor name, data := range target.files {\n 165→\t\tfile := bytes.NewReader(data)\n 166→\t\tpf, err := pq.OpenFile(file, int64(len(data)))\n 167→\t\tif err != nil {\n 168→\t\t\tt.Fatalf(\"open parquet %s: %v\", name, err)\n 169→\t\t}\n 170→\t\tif pf.NumRows() != 5 {\n 171→\t\t\tt.Errorf(\"parquet rows = %d, want 5\", pf.NumRows())\n 172→\t\t}\n 173→\t}\n 174→}\n 175→\n 176→func TestParquetWriterBatching(t *testing.T) {\n 177→\ttarget := newMemTarget()\n 178→\t// Use a very small max size to force multiple files\n 179→\tpw := NewParquetWriter(target, 0) // 0 MB means every job triggers a flush\n 180→\tpw.maxSizeBytes = 1 // Force flush after every row\n 181→\n 182→\tfor i := range int64(3) {\n 183→\t\tmeta, data := makeTestJob(i)\n 184→\t\trow, err := JobToParquetRow(meta, data)\n 185→\t\tif err != nil {\n 186→\t\t\tt.Fatalf(\"convert job %d: %v\", i, err)\n 187→\t\t}\n 188→\t\tif err := pw.AddJob(*row); err != nil {\n 189→\t\t\tt.Fatalf(\"add job %d: %v\", i, err)\n 190→\t\t}\n 191→\t}\n 192→\n 193→\tif err := pw.Close(); err != nil {\n 194→\t\tt.Fatalf(\"close: %v\", err)\n 195→\t}\n 196→\n 197→\t// With maxSizeBytes=1, each AddJob should flush the previous batch,\n 198→\t// resulting in multiple files\n 199→\tif len(target.files) < 2 {\n 200→\t\tt.Errorf(\"expected multiple files due to batching, got %d\", len(target.files))\n 201→\t}\n 202→\n 203→\t// Verify all files are valid parquet\n 204→\tfor name, data := range target.files {\n 205→\t\tfile := bytes.NewReader(data)\n 206→\t\t_, err := pq.OpenFile(file, int64(len(data)))\n 207→\t\tif err != nil {\n 208→\t\t\tt.Errorf(\"invalid parquet file %s: %v\", name, err)\n 209→\t\t}\n 210→\t}\n 211→}\n 212→\n 213→func TestFileTarget(t *testing.T) {\n 214→\tdir := t.TempDir()\n 215→\tft, err := NewFileTarget(dir)\n 216→\tif err != nil {\n 217→\t\tt.Fatalf(\"NewFileTarget: %v\", err)\n 218→\t}\n 219→\n 220→\ttestData := []byte(\"test parquet data\")\n 221→\tif err := ft.WriteFile(\"test.parquet\", testData); err != nil {\n 222→\t\tt.Fatalf(\"WriteFile: %v\", err)\n 223→\t}\n 224→\n 225→\t// Verify file exists and has correct content\n 226→\t// (using the target itself is sufficient; we just check no error)\n 227→}\n 228→\n 229→func TestFileTargetSubdirectories(t *testing.T) {\n 230→\tdir := t.TempDir()\n 231→\tft, err := NewFileTarget(dir)\n 232→\tif err != nil {\n 233→\t\tt.Fatalf(\"NewFileTarget: %v\", err)\n 234→\t}\n 235→\n 236→\ttestData := []byte(\"test data in subdir\")\n 237→\tif err := ft.WriteFile(\"fritz/cc-archive-2025-01-20-001.parquet\", testData); err != nil {\n 238→\t\tt.Fatalf(\"WriteFile with subdir: %v\", err)\n 239→\t}\n 240→\n 241→\t// Verify file was created in subdirectory\n 242→\tcontent, err := os.ReadFile(filepath.Join(dir, \"fritz\", \"cc-archive-2025-01-20-001.parquet\"))\n 243→\tif err != nil {\n 244→\t\tt.Fatalf(\"read file in subdir: %v\", err)\n 245→\t}\n 246→\tif !bytes.Equal(content, testData) {\n 247→\t\tt.Error(\"file content mismatch\")\n 248→\t}\n 249→}\n 250→\n 251→func makeTestJobForCluster(jobID int64, cluster string) (*schema.Job, *schema.JobData) {\n 252→\tmeta, data := makeTestJob(jobID)\n 253→\tmeta.Cluster = cluster\n 254→\treturn meta, data\n 255→}\n 256→\n 257→func TestClusterAwareParquetWriter(t *testing.T) {\n 258→\ttarget := newMemTarget()\n 259→\tcw := NewClusterAwareParquetWriter(target, 512)\n 260→\n 261→\t// Set cluster configs\n 262→\tcw.SetClusterConfig(\"fritz\", &schema.Cluster{Name: \"fritz\"})\n 263→\tcw.SetClusterConfig(\"alex\", &schema.Cluster{Name: \"alex\"})\n 264→\n 265→\t// Add jobs from different clusters\n 266→\tfor i := range int64(3) {\n 267→\t\tmeta, data := makeTestJobForCluster(i, \"fritz\")\n 268→\t\trow, err := JobToParquetRow(meta, data)\n 269→\t\tif err != nil {\n 270→\t\t\tt.Fatalf(\"convert fritz job %d: %v\", i, err)\n 271→\t\t}\n 272→\t\tif err := cw.AddJob(*row); err != nil {\n 273→\t\t\tt.Fatalf(\"add fritz job %d: %v\", i, err)\n 274→\t\t}\n 275→\t}\n 276→\n 277→\tfor i := int64(10); i < 12; i++ {\n 278→\t\tmeta, data := makeTestJobForCluster(i, \"alex\")\n 279→\t\trow, err := JobToParquetRow(meta, data)\n 280→\t\tif err != nil {\n 281→\t\t\tt.Fatalf(\"convert alex job %d: %v\", i, err)\n 282→\t\t}\n 283→\t\tif err := cw.AddJob(*row); err != nil {\n 284→\t\t\tt.Fatalf(\"add alex job %d: %v\", i, err)\n 285→\t\t}\n 286→\t}\n 287→\n 288→\tif err := cw.Close(); err != nil {\n 289→\t\tt.Fatalf(\"close: %v\", err)\n 290→\t}\n 291→\n 292→\ttarget.mu.Lock()\n 293→\tdefer target.mu.Unlock()\n 294→\n 295→\t// Check cluster.json files were written\n 296→\tif _, ok := target.files[\"fritz/cluster.json\"]; !ok {\n 297→\t\tt.Error(\"missing fritz/cluster.json\")\n 298→\t}\n 299→\tif _, ok := target.files[\"alex/cluster.json\"]; !ok {\n 300→\t\tt.Error(\"missing alex/cluster.json\")\n 301→\t}\n 302→\n 303→\t// Verify cluster.json content\n 304→\tvar clusterCfg schema.Cluster\n 305→\tif err := json.Unmarshal(target.files[\"fritz/cluster.json\"], &clusterCfg); err != nil {\n 306→\t\tt.Fatalf(\"unmarshal fritz cluster.json: %v\", err)\n 307→\t}\n 308→\tif clusterCfg.Name != \"fritz\" {\n 309→\t\tt.Errorf(\"fritz cluster name = %q, want %q\", clusterCfg.Name, \"fritz\")\n 310→\t}\n 311→\n 312→\t// Check parquet files are in cluster subdirectories\n 313→\tfritzParquets := 0\n 314→\talexParquets := 0\n 315→\tfor name := range target.files {\n 316→\t\tif strings.HasPrefix(name, \"fritz/\") && strings.HasSuffix(name, \".parquet\") {\n 317→\t\t\tfritzParquets++\n 318→\t\t}\n 319→\t\tif strings.HasPrefix(name, \"alex/\") && strings.HasSuffix(name, \".parquet\") {\n 320→\t\t\talexParquets++\n 321→\t\t}\n 322→\t}\n 323→\tif fritzParquets == 0 {\n 324→\t\tt.Error(\"no parquet files in fritz/\")\n 325→\t}\n 326→\tif alexParquets == 0 {\n 327→\t\tt.Error(\"no parquet files in alex/\")\n 328→\t}\n 329→\n 330→\t// Verify parquet files are readable and have correct row counts\n 331→\tfor name, data := range target.files {\n 332→\t\tif !strings.HasSuffix(name, \".parquet\") {\n 333→\t\t\tcontinue\n 334→\t\t}\n 335→\t\tfile := bytes.NewReader(data)\n 336→\t\tpf, err := pq.OpenFile(file, int64(len(data)))\n 337→\t\tif err != nil {\n 338→\t\t\tt.Errorf(\"open parquet %s: %v\", name, err)\n 339→\t\t\tcontinue\n 340→\t\t}\n 341→\t\tif strings.HasPrefix(name, \"fritz/\") && pf.NumRows() != 3 {\n 342→\t\t\tt.Errorf(\"fritz parquet rows = %d, want 3\", pf.NumRows())\n 343→\t\t}\n 344→\t\tif strings.HasPrefix(name, \"alex/\") && pf.NumRows() != 2 {\n 345→\t\t\tt.Errorf(\"alex parquet rows = %d, want 2\", pf.NumRows())\n 346→\t\t}\n 347→\t}\n 348→}\n 349→\n 350→func TestClusterAwareParquetWriterEmpty(t *testing.T) {\n 351→\ttarget := newMemTarget()\n 352→\tcw := NewClusterAwareParquetWriter(target, 512)\n 353→\n 354→\tif err := cw.Close(); err != nil {\n 355→\t\tt.Fatalf(\"close empty writer: %v\", err)\n 356→\t}\n 357→\n 358→\tif len(target.files) != 0 {\n 359→\t\tt.Errorf(\"expected no files for empty writer, got %d\", len(target.files))\n 360→\t}\n 361→}\n 362→"}]},"uuid":"865a5a9f-707f-48e4-bb93-014ea57a5d56","timestamp":"2026-03-18T04:02:45.392Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"69813891-a882-4c15-a8fa-e014769cea16","timestamp":"2026-03-18T04:02:45.750Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"69813891-a882-4c15-a8fa-e014769cea16","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-18T04:02:45.784Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01AeDDgdidv1BEeCrQFmdBTc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0151RaganG7v9p6HapDxL61S","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive_test.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":1586,"cache_read_input_tokens":41470,"cache_creation":{"ephemeral_5m_input_tokens":1586,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ9t3JEAaXHwUp2qQFHHG","uuid":"215f4494-d8b9-411f-955e-c65639f3ac9c"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"d375b321-0773-492e-9b97-ebedbb6df8ed","timestamp":"2026-03-18T04:02:45.784Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"d375b321-0773-492e-9b97-ebedbb6df8ed","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0151RaganG7v9p6HapDxL61S","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"os\"\n 11→\t\"path/filepath\"\n 12→\t\"testing\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 15→\tpq \"github.com/parquet-go/parquet-go\"\n 16→)\n 17→\n 18→func TestParseScopeFromName(t *testing.T) {\n 19→\ttests := []struct {\n 20→\t\tname string\n 21→\t\twantScope string\n 22→\t\twantID string\n 23→\t}{\n 24→\t\t{\"socket0\", \"socket\", \"0\"},\n 25→\t\t{\"socket12\", \"socket\", \"12\"},\n 26→\t\t{\"core0\", \"core\", \"0\"},\n 27→\t\t{\"core127\", \"core\", \"127\"},\n 28→\t\t{\"cpu0\", \"hwthread\", \"0\"},\n 29→\t\t{\"hwthread5\", \"hwthread\", \"5\"},\n 30→\t\t{\"memoryDomain0\", \"memoryDomain\", \"0\"},\n 31→\t\t{\"accelerator0\", \"accelerator\", \"0\"},\n 32→\t\t{\"unknown\", \"unknown\", \"\"},\n 33→\t\t{\"socketX\", \"socketX\", \"\"}, // not numeric suffix\n 34→\t}\n 35→\n 36→\tfor _, tt := range tests {\n 37→\t\tt.Run(tt.name, func(t *testing.T) {\n 38→\t\t\tscope, id := parseScopeFromName(tt.name)\n 39→\t\t\tif scope != tt.wantScope || id != tt.wantID {\n 40→\t\t\t\tt.Errorf(\"parseScopeFromName(%q) = (%q, %q), want (%q, %q)\",\n 41→\t\t\t\t\ttt.name, scope, id, tt.wantScope, tt.wantID)\n 42→\t\t\t}\n 43→\t\t})\n 44→\t}\n 45→}\n 46→\n 47→func TestFlattenCheckpointFile(t *testing.T) {\n 48→\tcf := &CheckpointFile{\n 49→\t\tFrom: 1000,\n 50→\t\tTo: 1060,\n 51→\t\tMetrics: map[string]*CheckpointMetrics{\n 52→\t\t\t\"cpu_load\": {\n 53→\t\t\t\tFrequency: 60,\n 54→\t\t\t\tStart: 1000,\n 55→\t\t\t\tData: []schema.Float{0.5, 0.7, schema.NaN},\n 56→\t\t\t},\n 57→\t\t},\n 58→\t\tChildren: map[string]*CheckpointFile{\n 59→\t\t\t\"socket0\": {\n 60→\t\t\t\tMetrics: map[string]*CheckpointMetrics{\n 61→\t\t\t\t\t\"mem_bw\": {\n 62→\t\t\t\t\t\tFrequency: 60,\n 63→\t\t\t\t\t\tStart: 1000,\n 64→\t\t\t\t\t\tData: []schema.Float{100.0, schema.NaN, 200.0},\n 65→\t\t\t\t\t},\n 66→\t\t\t\t},\n 67→\t\t\t\tChildren: make(map[string]*CheckpointFile),\n 68→\t\t\t},\n 69→\t\t},\n 70→\t}\n 71→\n 72→\trows := flattenCheckpointFile(cf, \"fritz\", \"node001\", \"node\", \"\", nil)\n 73→\n 74→\t// cpu_load: 2 non-NaN values at node scope\n 75→\t// mem_bw: 2 non-NaN values at socket0 scope\n 76→\tif len(rows) != 4 {\n 77→\t\tt.Fatalf(\"expected 4 rows, got %d\", len(rows))\n 78→\t}\n 79→\n 80→\t// Verify a node-scope row\n 81→\tfound := false\n 82→\tfor _, r := range rows {\n 83→\t\tif r.Metric == \"cpu_load\" && r.Timestamp == 1000 {\n 84→\t\t\tfound = true\n 85→\t\t\tif r.Cluster != \"fritz\" || r.Hostname != \"node001\" || r.Scope != \"node\" || r.Value != 0.5 {\n 86→\t\t\t\tt.Errorf(\"unexpected row: %+v\", r)\n 87→\t\t\t}\n 88→\t\t}\n 89→\t}\n 90→\tif !found {\n 91→\t\tt.Error(\"expected cpu_load row at timestamp 1000\")\n 92→\t}\n 93→\n 94→\t// Verify a socket-scope row\n 95→\tfound = false\n 96→\tfor _, r := range rows {\n 97→\t\tif r.Metric == \"mem_bw\" && r.Scope == \"socket\" && r.ScopeID == \"0\" {\n 98→\t\t\tfound = true\n 99→\t\t}\n 100→\t}"}]},"uuid":"006ccb9d-700f-450a-bf59-9cad994307be","timestamp":"2026-03-18T04:02:45.793Z"},"type":"agent_progress","prompt":"","agentId":"a54ce42db3d7e6a75"},"toolUseID":"agent_msg_017PFZLZcJVrCweDKN2Pv1ax","parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","uuid":"e381436a-7b60-4aae-9090-e89ce5d7ccc4","timestamp":"2026-03-18T04:02:45.794Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"e381436a-7b60-4aae-9090-e89ce5d7ccc4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","toolUseID":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","timestamp":"2026-03-18T04:03:01.631Z","uuid":"d5eaffb2-6268-4c4c-9d3a-8c6fb5d797bc","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"dd911687-ef19-4727-bc02-483d0b5ffab8","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0115GTb7Gkjjtf2iDpNmgN9u","type":"tool_result","content":[{"type":"text","text":"Perfect! I now have a comprehensive understanding of all parquet writing code in the codebase. Let me compile my findings:\n\n## Comprehensive Report: All Parquet Writing Usage in CC-Backend\n\nBased on my thorough search, I found **3 major parquet writing code paths** with specific accumulation patterns:\n\n### 1. **Job Retention/Archiving via ParquetWriter** \n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 20-106)\n\n**Row Accumulation Pattern**:\n- `ParquetWriter` struct (line 22) accumulates `[]ParquetJobRow` in field `rows` (line 25)\n- `AddJob()` method (line 43) appends rows to the slice\n- When `currentSize + rowSize > maxSizeBytes` (line 46), `Flush()` is called\n- `Flush()` (line 58) calls `writeParquetBytes(pw.rows)` (line 66) which creates a `pq.NewGenericWriter[ParquetJobRow]` (line 89)\n\n**GenericWriter Usage** (line 89):\n```go\nwriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n pq.Compression(&pq.Zstd),\n pq.SortingWriterConfig(pq.SortingColumns(\n pq.Ascending(\"sub_cluster\"),\n pq.Ascending(\"project\"),\n pq.Ascending(\"start_time\"),\n )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` (lines 108-149)\n- `transferJobsParquet()` creates `pqarchive.NewClusterAwareParquetWriter()` (line 109)\n- Iterates jobs, converts to ParquetJobRow via `pqarchive.JobToParquetRow()` (line 137), calls `cw.AddJob()` (line 142)\n\n---\n\n### 2. **Cluster-Aware Job Retention via ClusterAwareParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 133-186)\n\n**Row Accumulation Pattern**:\n- `ClusterAwareParquetWriter` (line 135) maintains `writers map[string]*ParquetWriter` (line 138)\n- Each cluster gets its own `ParquetWriter` instance\n- `AddJob()` (line 158) routes to the appropriate cluster's writer\n- Same row accumulation and batching as ParquetWriter above\n\n**Called from**: \n- `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` lines 109, 260, 311\n - `RegisterRetentionCopyService()` (line 232)\n - `RegisterRetentionMoveService()` (line 285)\n\n---\n\n### 3. **Node State Retention via NodeStateParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go` (lines 17-111)\n\n**Row Accumulation Pattern**:\n- `NodeStateParquetWriter` struct (line 19) accumulates `[]ParquetNodeStateRow` in field `rows` (line 22)\n- `AddRow()` method (line 39) appends rows with size tracking\n- When `currentSize + rowSize > maxSizeBytes` (line 42), `Flush()` is called\n- `Flush()` (line 54) calls `writeNodeStateParquetBytes(pw.rows)` (line 62)\n\n**GenericWriter Usage** (line 85):\n```go\nwriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n pq.Compression(&pq.Zstd),\n pq.SortingWriterConfig(pq.SortingColumns(\n pq.Ascending(\"cluster\"),\n pq.Ascending(\"subcluster\"),\n pq.Ascending(\"hostname\"),\n pq.Ascending(\"time_stamp\"),\n )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go` (lines 35-120)\n- `RegisterNodeStateRetentionMoveService()` (line 35)\n- Creates `pqarchive.NewNodeStateParquetWriter()` (line 86)\n- Finds old nodestate rows via `nodeRepo.FindNodeStatesBefore()` (line 76)\n- Iterates rows, creates `ParquetNodeStateRow` structs, calls `pw.AddRow()` (line 102)\n\n---\n\n### 4. **Metric Archive via parquetArchiveWriter (Checkpoint Streaming)**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go` (lines 95-160)\n\n**Row Accumulation Pattern**:\n- `parquetArchiveWriter` struct (line 98) uses `*pq.GenericWriter[ParquetMetricRow]` directly (line 99)\n- Does **NOT** accumulate rows in memory; instead writes incrementally via `WriteHostRows()` (line 127)\n- Each host's data is sorted by (metric, timestamp) then written as a separate row group\n\n**GenericWriter Creation** (line 118):\n```go\nwriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n pq.Compression(&pq.Zstd),\n)\n```\n\n**Data Source**: \n- `archiveCheckpointsToParquet()` (line 236) pre-allocates row slice and flattens checkpoint files\n- `flattenCheckpointFile()` (line 38) recursively converts CheckpointFile tree to `[]ParquetMetricRow`\n- Pre-allocation estimate via `estimateRowCount()` (line 223)\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go` (lines 86-300)\n- `archiveCheckpoints()` (line 173) \n- Workers pool pattern processes per-host checkpoint directories\n- Each host's rows written via `writer.WriteHostRows()` (line 260) at line 260\n- Creates streaming archive from metrics checkpoints to Parquet files in format: `//.parquet`\n\n---\n\n### Summary of Row Accumulation Patterns:\n\n| Location | Row Type | Struct Field | Batching | Trigger |\n|----------|----------|--------------|----------|---------|\n| `pkg/archive/parquet/writer.go` | `ParquetJobRow` | `rows []ParquetJobRow` | Yes | Size > maxSizeBytes |\n| `pkg/archive/parquet/nodestate_writer.go` | `ParquetNodeStateRow` | `rows []ParquetNodeStateRow` | Yes | Size > maxSizeBytes |\n| `pkg/metricstore/parquetArchive.go` | `ParquetMetricRow` | Pre-allocated slice | No | Per-host row group |\n\n### Key Implementation Details:\n\n1. **Job/NodeState Writers** use batching to avoid OOM on large datasets\n2. **Metric Archive Writer** uses streaming row groups instead of full accumulation\n3. All use `pq.NewGenericWriter` with `pq.Compression(&pq.Zstd)` for compression\n4. Job and NodeState writers use `pq.SortingWriterConfig` for column ordering\n5. Row estimation via struct field size calculation before writing\n6. All integrate with parquet-go library's generic writer API"},{"type":"text","text":"agentId: a54ce42db3d7e6a75 (for resuming to continue this agent's work if needed)\ntotal_tokens: 51623\ntool_uses: 17\nduration_ms: 29238"}]}]},"uuid":"dea76866-f55f-45b0-87d1-b546550a70bd","timestamp":"2026-03-18T04:03:01.630Z","toolUseResult":{"status":"completed","prompt":"Search the codebase for ALL uses of parquet writing - any place that writes parquet files, accumulates rows into slices for parquet, or uses parquet-go's GenericWriter. Look specifically for:\n\n1. Any usage of `pq.NewGenericWriter`, `pq.GenericWriter`, `SortingWriterConfig`, or `writeParquetArchive`\n2. Any function that accumulates `[]ParquetMetricRow` or similar row slices\n3. Nodestate retention or archiving code that might write parquet\n4. Any other archiving/retention code paths\n\nSearch thoroughly - check pkg/, internal/, and any other directories. Report the exact file paths, line numbers, and the accumulation patterns you find.","agentId":"a54ce42db3d7e6a75","content":[{"type":"text","text":"Perfect! I now have a comprehensive understanding of all parquet writing code in the codebase. Let me compile my findings:\n\n## Comprehensive Report: All Parquet Writing Usage in CC-Backend\n\nBased on my thorough search, I found **3 major parquet writing code paths** with specific accumulation patterns:\n\n### 1. **Job Retention/Archiving via ParquetWriter** \n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 20-106)\n\n**Row Accumulation Pattern**:\n- `ParquetWriter` struct (line 22) accumulates `[]ParquetJobRow` in field `rows` (line 25)\n- `AddJob()` method (line 43) appends rows to the slice\n- When `currentSize + rowSize > maxSizeBytes` (line 46), `Flush()` is called\n- `Flush()` (line 58) calls `writeParquetBytes(pw.rows)` (line 66) which creates a `pq.NewGenericWriter[ParquetJobRow]` (line 89)\n\n**GenericWriter Usage** (line 89):\n```go\nwriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n pq.Compression(&pq.Zstd),\n pq.SortingWriterConfig(pq.SortingColumns(\n pq.Ascending(\"sub_cluster\"),\n pq.Ascending(\"project\"),\n pq.Ascending(\"start_time\"),\n )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` (lines 108-149)\n- `transferJobsParquet()` creates `pqarchive.NewClusterAwareParquetWriter()` (line 109)\n- Iterates jobs, converts to ParquetJobRow via `pqarchive.JobToParquetRow()` (line 137), calls `cw.AddJob()` (line 142)\n\n---\n\n### 2. **Cluster-Aware Job Retention via ClusterAwareParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go` (lines 133-186)\n\n**Row Accumulation Pattern**:\n- `ClusterAwareParquetWriter` (line 135) maintains `writers map[string]*ParquetWriter` (line 138)\n- Each cluster gets its own `ParquetWriter` instance\n- `AddJob()` (line 158) routes to the appropriate cluster's writer\n- Same row accumulation and batching as ParquetWriter above\n\n**Called from**: \n- `/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go` lines 109, 260, 311\n - `RegisterRetentionCopyService()` (line 232)\n - `RegisterRetentionMoveService()` (line 285)\n\n---\n\n### 3. **Node State Retention via NodeStateParquetWriter**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go` (lines 17-111)\n\n**Row Accumulation Pattern**:\n- `NodeStateParquetWriter` struct (line 19) accumulates `[]ParquetNodeStateRow` in field `rows` (line 22)\n- `AddRow()` method (line 39) appends rows with size tracking\n- When `currentSize + rowSize > maxSizeBytes` (line 42), `Flush()` is called\n- `Flush()` (line 54) calls `writeNodeStateParquetBytes(pw.rows)` (line 62)\n\n**GenericWriter Usage** (line 85):\n```go\nwriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n pq.Compression(&pq.Zstd),\n pq.SortingWriterConfig(pq.SortingColumns(\n pq.Ascending(\"cluster\"),\n pq.Ascending(\"subcluster\"),\n pq.Ascending(\"hostname\"),\n pq.Ascending(\"time_stamp\"),\n )),\n)\n```\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go` (lines 35-120)\n- `RegisterNodeStateRetentionMoveService()` (line 35)\n- Creates `pqarchive.NewNodeStateParquetWriter()` (line 86)\n- Finds old nodestate rows via `nodeRepo.FindNodeStatesBefore()` (line 76)\n- Iterates rows, creates `ParquetNodeStateRow` structs, calls `pw.AddRow()` (line 102)\n\n---\n\n### 4. **Metric Archive via parquetArchiveWriter (Checkpoint Streaming)**\n**File**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go` (lines 95-160)\n\n**Row Accumulation Pattern**:\n- `parquetArchiveWriter` struct (line 98) uses `*pq.GenericWriter[ParquetMetricRow]` directly (line 99)\n- Does **NOT** accumulate rows in memory; instead writes incrementally via `WriteHostRows()` (line 127)\n- Each host's data is sorted by (metric, timestamp) then written as a separate row group\n\n**GenericWriter Creation** (line 118):\n```go\nwriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n pq.Compression(&pq.Zstd),\n)\n```\n\n**Data Source**: \n- `archiveCheckpointsToParquet()` (line 236) pre-allocates row slice and flattens checkpoint files\n- `flattenCheckpointFile()` (line 38) recursively converts CheckpointFile tree to `[]ParquetMetricRow`\n- Pre-allocation estimate via `estimateRowCount()` (line 223)\n\n**Called from**: `/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go` (lines 86-300)\n- `archiveCheckpoints()` (line 173) \n- Workers pool pattern processes per-host checkpoint directories\n- Each host's rows written via `writer.WriteHostRows()` (line 260) at line 260\n- Creates streaming archive from metrics checkpoints to Parquet files in format: `//.parquet`\n\n---\n\n### Summary of Row Accumulation Patterns:\n\n| Location | Row Type | Struct Field | Batching | Trigger |\n|----------|----------|--------------|----------|---------|\n| `pkg/archive/parquet/writer.go` | `ParquetJobRow` | `rows []ParquetJobRow` | Yes | Size > maxSizeBytes |\n| `pkg/archive/parquet/nodestate_writer.go` | `ParquetNodeStateRow` | `rows []ParquetNodeStateRow` | Yes | Size > maxSizeBytes |\n| `pkg/metricstore/parquetArchive.go` | `ParquetMetricRow` | Pre-allocated slice | No | Per-host row group |\n\n### Key Implementation Details:\n\n1. **Job/NodeState Writers** use batching to avoid OOM on large datasets\n2. **Metric Archive Writer** uses streaming row groups instead of full accumulation\n3. All use `pq.NewGenericWriter` with `pq.Compression(&pq.Zstd)` for compression\n4. Job and NodeState writers use `pq.SortingWriterConfig` for column ordering\n5. Row estimation via struct field size calculation before writing\n6. All integrate with parquet-go library's generic writer API"}],"totalDurationMs":29238,"totalTokens":51623,"totalToolUseCount":17,"usage":{"input_tokens":6,"cache_creation_input_tokens":6652,"cache_read_input_tokens":43056,"output_tokens":1909,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":6652},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"dd911687-ef19-4727-bc02-483d0b5ffab8","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"dea76866-f55f-45b0-87d1-b546550a70bd","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AdnAYkKKfvEiMFNWRSYLD7","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2296,"cache_read_input_tokens":40562,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2296},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9t4eKgLcyf7YNfqMhTv","type":"assistant","uuid":"2025e1d8-28d8-40fe-b93f-54631ba7984e","timestamp":"2026-03-18T04:03:07.273Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"2025e1d8-28d8-40fe-b93f-54631ba7984e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AdnAYkKKfvEiMFNWRSYLD7","type":"message","role":"assistant","content":[{"type":"text","text":"Good question. The agent found two more parquet writers using `SortingWriterConfig`. Let me read them to assess the risk."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2296,"cache_read_input_tokens":40562,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2296},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9t4eKgLcyf7YNfqMhTv","type":"assistant","uuid":"7182a71e-b899-49eb-bdec-652bd2a5d697","timestamp":"2026-03-18T04:03:08.190Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"7182a71e-b899-49eb-bdec-652bd2a5d697","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AdnAYkKKfvEiMFNWRSYLD7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011Fh6gGsv7PiP7UZ5Fzn1HF","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2296,"cache_read_input_tokens":40562,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2296},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9t4eKgLcyf7YNfqMhTv","type":"assistant","uuid":"6ef33ff4-6796-4ef0-b60a-8faf052d22c6","timestamp":"2026-03-18T04:03:08.687Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"6ef33ff4-6796-4ef0-b60a-8faf052d22c6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AdnAYkKKfvEiMFNWRSYLD7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q99KAA21mZfprWFnPEyThq","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2296,"cache_read_input_tokens":40562,"output_tokens":321,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2296,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9t4eKgLcyf7YNfqMhTv","type":"assistant","uuid":"7654bc76-22fd-40c9-80f1-2ca9c5f25c80","timestamp":"2026-03-18T04:03:08.696Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"7654bc76-22fd-40c9-80f1-2ca9c5f25c80","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_011Fh6gGsv7PiP7UZ5Fzn1HF","toolUseID":"toolu_011Fh6gGsv7PiP7UZ5Fzn1HF","timestamp":"2026-03-18T04:03:08.712Z","uuid":"af55c271-ff85-4a37-ab86-4bd0222487c0","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"6ef33ff4-6796-4ef0-b60a-8faf052d22c6","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011Fh6gGsv7PiP7UZ5Fzn1HF","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package parquet\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"path\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tpq \"github.com/parquet-go/parquet-go\"\n 18→)\n 19→\n 20→// ParquetWriter batches ParquetJobRows and flushes them to a target\n 21→// when the estimated size exceeds maxSizeBytes.\n 22→type ParquetWriter struct {\n 23→\ttarget ParquetTarget\n 24→\tmaxSizeBytes int64\n 25→\trows []ParquetJobRow\n 26→\tcurrentSize int64\n 27→\tfileCounter int\n 28→\tdatePrefix string\n 29→}\n 30→\n 31→// NewParquetWriter creates a new writer that flushes batches to the given target.\n 32→// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\n 33→func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n 34→\treturn &ParquetWriter{\n 35→\t\ttarget: target,\n 36→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n 37→\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n 38→\t}\n 39→}\n 40→\n 41→// AddJob adds a row to the current batch. If the estimated batch size\n 42→// exceeds the configured maximum, the batch is flushed to the target first.\n 43→func (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n 44→\trowSize := estimateRowSize(&row)\n 45→\n 46→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n 47→\t\tif err := pw.Flush(); err != nil {\n 48→\t\t\treturn err\n 49→\t\t}\n 50→\t}\n 51→\n 52→\tpw.rows = append(pw.rows, row)\n 53→\tpw.currentSize += rowSize\n 54→\treturn nil\n 55→}\n 56→\n 57→// Flush writes the current batch to a parquet file on the target.\n 58→func (pw *ParquetWriter) Flush() error {\n 59→\tif len(pw.rows) == 0 {\n 60→\t\treturn nil\n 61→\t}\n 62→\n 63→\tpw.fileCounter++\n 64→\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n 65→\n 66→\tdata, err := writeParquetBytes(pw.rows)\n 67→\tif err != nil {\n 68→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n 69→\t}\n 70→\n 71→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n 72→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n 73→\t}\n 74→\n 75→\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n 76→\tpw.rows = pw.rows[:0]\n 77→\tpw.currentSize = 0\n 78→\treturn nil\n 79→}\n 80→\n 81→// Close flushes any remaining rows and finalizes the writer.\n 82→func (pw *ParquetWriter) Close() error {\n 83→\treturn pw.Flush()\n 84→}\n 85→\n 86→func writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n 87→\tvar buf bytes.Buffer\n 88→\n 89→\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n 90→\t\tpq.Compression(&pq.Zstd),\n 91→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n 92→\t\t\tpq.Ascending(\"sub_cluster\"),\n 93→\t\t\tpq.Ascending(\"project\"),\n 94→\t\t\tpq.Ascending(\"start_time\"),\n 95→\t\t)),\n 96→\t)\n 97→\n 98→\tif _, err := writer.Write(rows); err != nil {\n 99→\t\treturn nil, err\n 100→\t}\n 101→\tif err := writer.Close(); err != nil {\n 102→\t\treturn nil, err\n 103→\t}\n 104→\n 105→\treturn buf.Bytes(), nil\n 106→}\n 107→\n 108→func estimateRowSize(row *ParquetJobRow) int64 {\n 109→\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n 110→\tsize := int64(200)\n 111→\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n 112→\t\tlen(row.Project) + len(row.User) + len(row.State))\n 113→\tsize += int64(len(row.ResourcesJSON))\n 114→\tsize += int64(len(row.StatisticsJSON))\n 115→\tsize += int64(len(row.TagsJSON))\n 116→\tsize += int64(len(row.MetaDataJSON))\n 117→\tsize += int64(len(row.FootprintJSON))\n 118→\tsize += int64(len(row.EnergyFootJSON))\n 119→\tsize += int64(len(row.MetricDataGz))\n 120→\treturn size\n 121→}\n 122→\n 123→// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\n 124→type prefixedTarget struct {\n 125→\tinner ParquetTarget\n 126→\tprefix string\n 127→}\n 128→\n 129→func (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n 130→\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n 131→}\n 132→\n 133→// ClusterAwareParquetWriter organizes Parquet output by cluster.\n 134→// Each cluster gets its own subdirectory with a cluster.json config file.\n 135→type ClusterAwareParquetWriter struct {\n 136→\ttarget ParquetTarget\n 137→\tmaxSizeMB int\n 138→\twriters map[string]*ParquetWriter\n 139→\tclusterCfgs map[string]*schema.Cluster\n 140→}\n 141→\n 142→// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\n 143→func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n 144→\treturn &ClusterAwareParquetWriter{\n 145→\t\ttarget: target,\n 146→\t\tmaxSizeMB: maxSizeMB,\n 147→\t\twriters: make(map[string]*ParquetWriter),\n 148→\t\tclusterCfgs: make(map[string]*schema.Cluster),\n 149→\t}\n 150→}\n 151→\n 152→// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\n 153→func (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n 154→\tcw.clusterCfgs[name] = cfg\n 155→}\n 156→\n 157→// AddJob routes the job row to the appropriate per-cluster writer.\n 158→func (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n 159→\tcluster := row.Cluster\n 160→\tpw, ok := cw.writers[cluster]\n 161→\tif !ok {\n 162→\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n 163→\t\tcw.writers[cluster] = pw\n 164→\t}\n 165→\treturn pw.AddJob(row)\n 166→}\n 167→\n 168→// Close writes cluster.json files and flushes all per-cluster writers.\n 169→func (cw *ClusterAwareParquetWriter) Close() error {\n 170→\tfor name, cfg := range cw.clusterCfgs {\n 171→\t\tdata, err := json.MarshalIndent(cfg, \"\", \" \")\n 172→\t\tif err != nil {\n 173→\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n 174→\t\t}\n 175→\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n 176→\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n 177→\t\t}\n 178→\t}\n 179→\n 180→\tfor cluster, pw := range cw.writers {\n 181→\t\tif err := pw.Close(); err != nil {\n 182→\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n 183→\t\t}\n 184→\t}\n 185→\treturn nil\n 186→}\n 187→"}]},"uuid":"8ba2bd53-1ba2-49e6-a0fb-f32b047d809b","timestamp":"2026-03-18T04:03:08.711Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage parquet\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"path\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetWriter batches ParquetJobRows and flushes them to a target\n// when the estimated size exceeds maxSizeBytes.\ntype ParquetWriter struct {\n\ttarget ParquetTarget\n\tmaxSizeBytes int64\n\trows []ParquetJobRow\n\tcurrentSize int64\n\tfileCounter int\n\tdatePrefix string\n}\n\n// NewParquetWriter creates a new writer that flushes batches to the given target.\n// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\nfunc NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n\treturn &ParquetWriter{\n\t\ttarget: target,\n\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n\t}\n}\n\n// AddJob adds a row to the current batch. If the estimated batch size\n// exceeds the configured maximum, the batch is flushed to the target first.\nfunc (pw *ParquetWriter) AddJob(row ParquetJobRow) error {\n\trowSize := estimateRowSize(&row)\n\n\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n\t\tif err := pw.Flush(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tpw.rows = append(pw.rows, row)\n\tpw.currentSize += rowSize\n\treturn nil\n}\n\n// Flush writes the current batch to a parquet file on the target.\nfunc (pw *ParquetWriter) Flush() error {\n\tif len(pw.rows) == 0 {\n\t\treturn nil\n\t}\n\n\tpw.fileCounter++\n\tfileName := fmt.Sprintf(\"cc-archive-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n\n\tdata, err := writeParquetBytes(pw.rows)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n\t}\n\n\tif err := pw.target.WriteFile(fileName, data); err != nil {\n\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n\t}\n\n\tcclog.Infof(\"Parquet retention: wrote %s (%d jobs, %d bytes)\", fileName, len(pw.rows), len(data))\n\tpw.rows = pw.rows[:0]\n\tpw.currentSize = 0\n\treturn nil\n}\n\n// Close flushes any remaining rows and finalizes the writer.\nfunc (pw *ParquetWriter) Close() error {\n\treturn pw.Flush()\n}\n\nfunc writeParquetBytes(rows []ParquetJobRow) ([]byte, error) {\n\tvar buf bytes.Buffer\n\n\twriter := pq.NewGenericWriter[ParquetJobRow](&buf,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"sub_cluster\"),\n\t\t\tpq.Ascending(\"project\"),\n\t\t\tpq.Ascending(\"start_time\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn nil, err\n\t}\n\tif err := writer.Close(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn buf.Bytes(), nil\n}\n\nfunc estimateRowSize(row *ParquetJobRow) int64 {\n\t// Fixed fields: ~100 bytes for numeric fields + strings estimate\n\tsize := int64(200)\n\tsize += int64(len(row.Cluster) + len(row.SubCluster) + len(row.Partition) +\n\t\tlen(row.Project) + len(row.User) + len(row.State))\n\tsize += int64(len(row.ResourcesJSON))\n\tsize += int64(len(row.StatisticsJSON))\n\tsize += int64(len(row.TagsJSON))\n\tsize += int64(len(row.MetaDataJSON))\n\tsize += int64(len(row.FootprintJSON))\n\tsize += int64(len(row.EnergyFootJSON))\n\tsize += int64(len(row.MetricDataGz))\n\treturn size\n}\n\n// prefixedTarget wraps a ParquetTarget and prepends a path prefix to all file names.\ntype prefixedTarget struct {\n\tinner ParquetTarget\n\tprefix string\n}\n\nfunc (pt *prefixedTarget) WriteFile(name string, data []byte) error {\n\treturn pt.inner.WriteFile(path.Join(pt.prefix, name), data)\n}\n\n// ClusterAwareParquetWriter organizes Parquet output by cluster.\n// Each cluster gets its own subdirectory with a cluster.json config file.\ntype ClusterAwareParquetWriter struct {\n\ttarget ParquetTarget\n\tmaxSizeMB int\n\twriters map[string]*ParquetWriter\n\tclusterCfgs map[string]*schema.Cluster\n}\n\n// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\nfunc NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n\treturn &ClusterAwareParquetWriter{\n\t\ttarget: target,\n\t\tmaxSizeMB: maxSizeMB,\n\t\twriters: make(map[string]*ParquetWriter),\n\t\tclusterCfgs: make(map[string]*schema.Cluster),\n\t}\n}\n\n// SetClusterConfig stores a cluster configuration to be written as cluster.json on Close.\nfunc (cw *ClusterAwareParquetWriter) SetClusterConfig(name string, cfg *schema.Cluster) {\n\tcw.clusterCfgs[name] = cfg\n}\n\n// AddJob routes the job row to the appropriate per-cluster writer.\nfunc (cw *ClusterAwareParquetWriter) AddJob(row ParquetJobRow) error {\n\tcluster := row.Cluster\n\tpw, ok := cw.writers[cluster]\n\tif !ok {\n\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n\t\tcw.writers[cluster] = pw\n\t}\n\treturn pw.AddJob(row)\n}\n\n// Close writes cluster.json files and flushes all per-cluster writers.\nfunc (cw *ClusterAwareParquetWriter) Close() error {\n\tfor name, cfg := range cw.clusterCfgs {\n\t\tdata, err := json.MarshalIndent(cfg, \"\", \" \")\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"marshal cluster config %q: %w\", name, err)\n\t\t}\n\t\tif err := cw.target.WriteFile(path.Join(name, \"cluster.json\"), data); err != nil {\n\t\t\treturn fmt.Errorf(\"write cluster.json for %q: %w\", name, err)\n\t\t}\n\t}\n\n\tfor cluster, pw := range cw.writers {\n\t\tif err := pw.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"close writer for cluster %q: %w\", cluster, err)\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":187,"startLine":1,"totalLines":187}},"sourceToolAssistantUUID":"6ef33ff4-6796-4ef0-b60a-8faf052d22c6","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"8ba2bd53-1ba2-49e6-a0fb-f32b047d809b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Q99KAA21mZfprWFnPEyThq","toolUseID":"toolu_01Q99KAA21mZfprWFnPEyThq","timestamp":"2026-03-18T04:03:08.713Z","uuid":"8a41feef-932a-4fc3-b346-f93343dea5ec","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"7654bc76-22fd-40c9-80f1-2ca9c5f25c80","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q99KAA21mZfprWFnPEyThq","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package parquet\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"fmt\"\n 11→\t\"time\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\tpq \"github.com/parquet-go/parquet-go\"\n 15→)\n 16→\n 17→// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n 18→// when the estimated size exceeds maxSizeBytes.\n 19→type NodeStateParquetWriter struct {\n 20→\ttarget ParquetTarget\n 21→\tmaxSizeBytes int64\n 22→\trows []ParquetNodeStateRow\n 23→\tcurrentSize int64\n 24→\tfileCounter int\n 25→\tdatePrefix string\n 26→}\n 27→\n 28→// NewNodeStateParquetWriter creates a new writer for node state parquet files.\n 29→func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n 30→\treturn &NodeStateParquetWriter{\n 31→\t\ttarget: target,\n 32→\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n 33→\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n 34→\t}\n 35→}\n 36→\n 37→// AddRow adds a row to the current batch. If the estimated batch size\n 38→// exceeds the configured maximum, the batch is flushed first.\n 39→func (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n 40→\trowSize := estimateNodeStateRowSize(&row)\n 41→\n 42→\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n 43→\t\tif err := pw.Flush(); err != nil {\n 44→\t\t\treturn err\n 45→\t\t}\n 46→\t}\n 47→\n 48→\tpw.rows = append(pw.rows, row)\n 49→\tpw.currentSize += rowSize\n 50→\treturn nil\n 51→}\n 52→\n 53→// Flush writes the current batch to a parquet file on the target.\n 54→func (pw *NodeStateParquetWriter) Flush() error {\n 55→\tif len(pw.rows) == 0 {\n 56→\t\treturn nil\n 57→\t}\n 58→\n 59→\tpw.fileCounter++\n 60→\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n 61→\n 62→\tdata, err := writeNodeStateParquetBytes(pw.rows)\n 63→\tif err != nil {\n 64→\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n 65→\t}\n 66→\n 67→\tif err := pw.target.WriteFile(fileName, data); err != nil {\n 68→\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n 69→\t}\n 70→\n 71→\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n 72→\tpw.rows = pw.rows[:0]\n 73→\tpw.currentSize = 0\n 74→\treturn nil\n 75→}\n 76→\n 77→// Close flushes any remaining rows and finalizes the writer.\n 78→func (pw *NodeStateParquetWriter) Close() error {\n 79→\treturn pw.Flush()\n 80→}\n 81→\n 82→func writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n 83→\tvar buf bytes.Buffer\n 84→\n 85→\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n 86→\t\tpq.Compression(&pq.Zstd),\n 87→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n 88→\t\t\tpq.Ascending(\"cluster\"),\n 89→\t\t\tpq.Ascending(\"subcluster\"),\n 90→\t\t\tpq.Ascending(\"hostname\"),\n 91→\t\t\tpq.Ascending(\"time_stamp\"),\n 92→\t\t)),\n 93→\t)\n 94→\n 95→\tif _, err := writer.Write(rows); err != nil {\n 96→\t\treturn nil, err\n 97→\t}\n 98→\tif err := writer.Close(); err != nil {\n 99→\t\treturn nil, err\n 100→\t}\n 101→\n 102→\treturn buf.Bytes(), nil\n 103→}\n 104→\n 105→func estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n 106→\tsize := int64(100) // fixed numeric fields\n 107→\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n 108→\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n 109→\treturn size\n 110→}\n 111→"}]},"uuid":"8659aa34-8044-491f-8e19-4b28746ae9dc","timestamp":"2026-03-18T04:03:08.713Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage parquet\n\nimport (\n\t\"bytes\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// NodeStateParquetWriter batches ParquetNodeStateRows and flushes them to a target\n// when the estimated size exceeds maxSizeBytes.\ntype NodeStateParquetWriter struct {\n\ttarget ParquetTarget\n\tmaxSizeBytes int64\n\trows []ParquetNodeStateRow\n\tcurrentSize int64\n\tfileCounter int\n\tdatePrefix string\n}\n\n// NewNodeStateParquetWriter creates a new writer for node state parquet files.\nfunc NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n\treturn &NodeStateParquetWriter{\n\t\ttarget: target,\n\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\n\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n\t}\n}\n\n// AddRow adds a row to the current batch. If the estimated batch size\n// exceeds the configured maximum, the batch is flushed first.\nfunc (pw *NodeStateParquetWriter) AddRow(row ParquetNodeStateRow) error {\n\trowSize := estimateNodeStateRowSize(&row)\n\n\tif pw.currentSize+rowSize > pw.maxSizeBytes && len(pw.rows) > 0 {\n\t\tif err := pw.Flush(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tpw.rows = append(pw.rows, row)\n\tpw.currentSize += rowSize\n\treturn nil\n}\n\n// Flush writes the current batch to a parquet file on the target.\nfunc (pw *NodeStateParquetWriter) Flush() error {\n\tif len(pw.rows) == 0 {\n\t\treturn nil\n\t}\n\n\tpw.fileCounter++\n\tfileName := fmt.Sprintf(\"cc-nodestate-%s-%03d.parquet\", pw.datePrefix, pw.fileCounter)\n\n\tdata, err := writeNodeStateParquetBytes(pw.rows)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"write parquet buffer: %w\", err)\n\t}\n\n\tif err := pw.target.WriteFile(fileName, data); err != nil {\n\t\treturn fmt.Errorf(\"write parquet file %q: %w\", fileName, err)\n\t}\n\n\tcclog.Infof(\"NodeState retention: wrote %s (%d rows, %d bytes)\", fileName, len(pw.rows), len(data))\n\tpw.rows = pw.rows[:0]\n\tpw.currentSize = 0\n\treturn nil\n}\n\n// Close flushes any remaining rows and finalizes the writer.\nfunc (pw *NodeStateParquetWriter) Close() error {\n\treturn pw.Flush()\n}\n\nfunc writeNodeStateParquetBytes(rows []ParquetNodeStateRow) ([]byte, error) {\n\tvar buf bytes.Buffer\n\n\twriter := pq.NewGenericWriter[ParquetNodeStateRow](&buf,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"subcluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"time_stamp\"),\n\t\t)),\n\t)\n\n\tif _, err := writer.Write(rows); err != nil {\n\t\treturn nil, err\n\t}\n\tif err := writer.Close(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn buf.Bytes(), nil\n}\n\nfunc estimateNodeStateRowSize(row *ParquetNodeStateRow) int64 {\n\tsize := int64(100) // fixed numeric fields\n\tsize += int64(len(row.NodeState) + len(row.HealthState) + len(row.HealthMetrics))\n\tsize += int64(len(row.Hostname) + len(row.Cluster) + len(row.SubCluster))\n\treturn size\n}\n","numLines":111,"startLine":1,"totalLines":111}},"sourceToolAssistantUUID":"7654bc76-22fd-40c9-80f1-2ca9c5f25c80","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} 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+{"parentUuid":"faff2a5f-39cf-41be-86c5-6881ede8648f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019UTA1PjoxLMwNcZgvy9yF8","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the default `maxSizeMB` values and the row schemas to assess the severity."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4503,"cache_read_input_tokens":42858,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4503},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9t59U86JZXpoB3ce9Bp","type":"assistant","uuid":"c09f2346-0454-4886-992d-9909d6ad37cb","timestamp":"2026-03-18T04:03:22.128Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} 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backend to parquet format.\ntools/archive-manager/main.go:426:func convertJSONToParquet(srcBackend archive.ArchiveBackend, dstCfg sourceConfig, maxSizeMB int) error {\ntools/archive-manager/main.go-427-\ttarget, err := createParquetTarget(dstCfg)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-428-\tif err != nil {\n--\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-430-\t}\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-431-\ntools/archive-manager/main.go:432:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-433-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-434-\t// Transfer cluster configs\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-30-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-31-// NewParquetWriter creates a new writer that flushes batches to the given target.\npkg/archive/parquet/writer.go:32:// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\npkg/archive/parquet/writer.go:33:func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-34-\treturn &ParquetWriter{\npkg/archive/parquet/writer.go-35-\t\ttarget: target,\npkg/archive/parquet/writer.go:36:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/writer.go-37-\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-38-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-135-type ClusterAwareParquetWriter struct {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-136-\ttarget ParquetTarget\npkg/archive/parquet/writer.go:137:\tmaxSizeMB int\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-138-\twriters map[string]*ParquetWriter\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-139-\tclusterCfgs map[string]*schema.Cluster\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-141-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-142-// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\npkg/archive/parquet/writer.go:143:func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-144-\treturn &ClusterAwareParquetWriter{\npkg/archive/parquet/writer.go-145-\t\ttarget: target,\npkg/archive/parquet/writer.go:146:\t\tmaxSizeMB: maxSizeMB,\npkg/archive/parquet/writer.go-147-\t\twriters: make(map[string]*ParquetWriter),\npkg/archive/parquet/writer.go-148-\t\tclusterCfgs: make(map[string]*schema.Cluster),\n--\npkg/archive/parquet/writer.go-160-\tpw, ok := cw.writers[cluster]\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-161-\tif !ok {\npkg/archive/parquet/writer.go:162:\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-163-\t\tcw.writers[cluster] = pw\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-164-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-27-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-28-// NewNodeStateParquetWriter creates a new writer for node state parquet files.\npkg/archive/parquet/nodestate_writer.go:29:func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-30-\treturn &NodeStateParquetWriter{\npkg/archive/parquet/nodestate_writer.go-31-\t\ttarget: target,\npkg/archive/parquet/nodestate_writer.go:32:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/nodestate_writer.go-33-\t\tdatePrefix: 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jobs"}]},"uuid":"28d33adb-22ad-4be4-bbaf-c470ef67fa84","timestamp":"2026-03-18T04:03:23.582Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-424-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-425-// convertJSONToParquet converts a JSON archive backend to parquet format.\ntools/archive-manager/main.go:426:func convertJSONToParquet(srcBackend archive.ArchiveBackend, dstCfg sourceConfig, maxSizeMB int) error {\ntools/archive-manager/main.go-427-\ttarget, err := createParquetTarget(dstCfg)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-428-\tif err != nil {\n--\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-430-\t}\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-431-\ntools/archive-manager/main.go:432:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-433-\n/Users/jan/prg/CC/cc-backend/tools/archive-manager/main.go-434-\t// Transfer cluster configs\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-30-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-31-// NewParquetWriter creates a new writer that flushes batches to the given target.\npkg/archive/parquet/writer.go:32:// maxSizeMB sets the approximate maximum size per parquet file in megabytes.\npkg/archive/parquet/writer.go:33:func NewParquetWriter(target ParquetTarget, maxSizeMB int) *ParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-34-\treturn &ParquetWriter{\npkg/archive/parquet/writer.go-35-\t\ttarget: target,\npkg/archive/parquet/writer.go:36:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/writer.go-37-\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-38-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-135-type ClusterAwareParquetWriter struct {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-136-\ttarget ParquetTarget\npkg/archive/parquet/writer.go:137:\tmaxSizeMB int\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-138-\twriters map[string]*ParquetWriter\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-139-\tclusterCfgs map[string]*schema.Cluster\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-141-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-142-// NewClusterAwareParquetWriter creates a writer that routes jobs to per-cluster ParquetWriters.\npkg/archive/parquet/writer.go:143:func NewClusterAwareParquetWriter(target ParquetTarget, maxSizeMB int) *ClusterAwareParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-144-\treturn &ClusterAwareParquetWriter{\npkg/archive/parquet/writer.go-145-\t\ttarget: target,\npkg/archive/parquet/writer.go:146:\t\tmaxSizeMB: maxSizeMB,\npkg/archive/parquet/writer.go-147-\t\twriters: make(map[string]*ParquetWriter),\npkg/archive/parquet/writer.go-148-\t\tclusterCfgs: make(map[string]*schema.Cluster),\n--\npkg/archive/parquet/writer.go-160-\tpw, ok := cw.writers[cluster]\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-161-\tif !ok {\npkg/archive/parquet/writer.go:162:\t\tpw = NewParquetWriter(&prefixedTarget{inner: cw.target, prefix: cluster}, cw.maxSizeMB)\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-163-\t\tcw.writers[cluster] = pw\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/writer.go-164-\t}\n--\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-27-\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-28-// NewNodeStateParquetWriter creates a new writer for node state parquet files.\npkg/archive/parquet/nodestate_writer.go:29:func NewNodeStateParquetWriter(target ParquetTarget, maxSizeMB int) *NodeStateParquetWriter {\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-30-\treturn &NodeStateParquetWriter{\npkg/archive/parquet/nodestate_writer.go-31-\t\ttarget: target,\npkg/archive/parquet/nodestate_writer.go:32:\t\tmaxSizeBytes: int64(maxSizeMB) * 1024 * 1024,\npkg/archive/parquet/nodestate_writer.go-33-\t\tdatePrefix: time.Now().Format(\"2006-01-02\"),\n/Users/jan/prg/CC/cc-backend/pkg/archive/parquet/nodestate_writer.go-34-\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-106-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-107-// transferJobsParquet converts jobs to Parquet format, organized by cluster.\ninternal/taskmanager/retentionService.go:108:func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\ninternal/taskmanager/retentionService.go:109:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-110-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-111-\t// Set cluster configs for all clusters referenced by jobs","numLines":58},"sourceToolAssistantUUID":"d3ad8e22-3b2e-4bec-8879-dc19d4acfa97","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"28d33adb-22ad-4be4-bbaf-c470ef67fa84","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019UTA1PjoxLMwNcZgvy9yF8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MMjiD8kkwVhQpJKiGzRyar","name":"Grep","input":{"pattern":"ParquetJobRow struct|ParquetNodeStateRow 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string `parquet:\"cluster\"`\npkg/archive/parquet/schema.go-11-\tSubCluster string `parquet:\"sub_cluster\"`\npkg/archive/parquet/schema.go-12-\tPartition string `parquet:\"partition,optional\"`\npkg/archive/parquet/schema.go-13-\tProject string `parquet:\"project\"`\npkg/archive/parquet/schema.go-14-\tUser string `parquet:\"user\"`\npkg/archive/parquet/schema.go-15-\tState string `parquet:\"job_state\"`\npkg/archive/parquet/schema.go-16-\tStartTime int64 `parquet:\"start_time\"`\npkg/archive/parquet/schema.go-17-\tDuration int32 `parquet:\"duration\"`\npkg/archive/parquet/schema.go-18-\tWalltime int64 `parquet:\"walltime\"`\npkg/archive/parquet/schema.go-19-\tNumNodes int32 `parquet:\"num_nodes\"`\npkg/archive/parquet/schema.go-20-\tNumHWThreads int32 `parquet:\"num_hwthreads\"`\npkg/archive/parquet/schema.go-21-\tNumAcc int32 `parquet:\"num_acc\"`\npkg/archive/parquet/schema.go-22-\tExclusive int32 `parquet:\"exclusive\"`\npkg/archive/parquet/schema.go-23-\tEnergy float64 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nil\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-105-}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-106-\ninternal/taskmanager/retentionService.go:107:// transferJobsParquet converts jobs to Parquet format, organized by cluster.\ninternal/taskmanager/retentionService.go:108:func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\ninternal/taskmanager/retentionService.go:109:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-110-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-111-\t// Set cluster configs for all clusters referenced by jobs\ninternal/taskmanager/retentionService.go-112-\tclustersDone := make(map[string]bool)\n--\ninternal/taskmanager/retentionService.go-262-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-263-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-264-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:265:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := 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{\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{"}]},"uuid":"e26a1aa7-04b9-40bf-ab8c-6d61bb74bd47","timestamp":"2026-03-18T04:03:28.636Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-104-\treturn nil\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-105-}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-106-\ninternal/taskmanager/retentionService.go:107:// transferJobsParquet converts jobs to Parquet format, organized by cluster.\ninternal/taskmanager/retentionService.go:108:func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\ninternal/taskmanager/retentionService.go:109:\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-110-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-111-\t// Set cluster configs for all clusters referenced by jobs\ninternal/taskmanager/retentionService.go-112-\tclustersDone := make(map[string]bool)\n--\ninternal/taskmanager/retentionService.go-262-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-263-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-264-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:265:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := 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{\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-233-\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-234-\ninternal/taskmanager/retentionService.go:235:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:236:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:237:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-238-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-239-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-240-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-262-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-263-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-264-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:265:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-285-func RegisterRetentionMoveService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-286-\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, 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transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-35-func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-36-\tcclog.Info(\"Register node state retention move service\")\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-37-\ninternal/taskmanager/nodestateRetentionService.go:38:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/nodestateRetentionService.go:39:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/nodestateRetentionService.go:40:\t\tmaxFileSizeMB 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pqarchive.ParquetNodeStateRow{"}]},"uuid":"392fddf0-3e00-4ec8-abb9-b655845479a1","timestamp":"2026-03-18T04:03:41.650Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-232-func RegisterRetentionCopyService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-233-\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-234-\ninternal/taskmanager/retentionService.go:235:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:236:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:237:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-238-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-239-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-240-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-262-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-263-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-264-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:265:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-266-\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-267-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-268-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-285-func RegisterRetentionMoveService(cfg Retention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-286-\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-287-\ninternal/taskmanager/retentionService.go:288:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/retentionService.go:289:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/retentionService.go:290:\t\tmaxFileSizeMB = 512\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-291-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-292-\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-293-\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n--\ninternal/taskmanager/retentionService.go-313-\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-314-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-315-\t\t\t\t\t}\ninternal/taskmanager/retentionService.go:316:\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\ninternal/taskmanager/retentionService.go-317-\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-318-\t\t\t\t\t\treturn\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/retentionService.go-319-\t\t\t\t\t}\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-35-func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-36-\tcclog.Info(\"Register node state retention move service\")\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-37-\ninternal/taskmanager/nodestateRetentionService.go:38:\tmaxFileSizeMB := cfg.MaxFileSizeMB\ninternal/taskmanager/nodestateRetentionService.go:39:\tif maxFileSizeMB <= 0 {\ninternal/taskmanager/nodestateRetentionService.go:40:\t\tmaxFileSizeMB = 128\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-41-\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-42-\ninternal/taskmanager/nodestateRetentionService.go-43-\tageHours := cfg.Age\n--\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-83-\t\t\t\t}\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-84-\ninternal/taskmanager/nodestateRetentionService.go-85-\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\ninternal/taskmanager/nodestateRetentionService.go:86:\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n/Users/jan/prg/CC/cc-backend/internal/taskmanager/nodestateRetentionService.go-87-\ninternal/taskmanager/nodestateRetentionService.go-88-\t\t\t\tfor _, ns := range rows {\ninternal/taskmanager/nodestateRetentionService.go-89-\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{","numLines":53},"sourceToolAssistantUUID":"3c6b8884-7d9f-4116-803f-8edf5fb39fe7","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"392fddf0-3e00-4ec8-abb9-b655845479a1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012hmTAEu4bt67BWJbYS4TM6","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the existing plan file and update 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The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n 6→\n 7→## Root Cause\n 8→\n 9→Two-layer unbounded accumulation:\n 10→\n 11→1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n 12→2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n 13→3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n 14→\n 15→Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n 16→\n 17→## Fix: Stream per-host to parquet writer\n 18→\n 19→Instead of accumulating all rows, write each host's data as a separate row group.\n 20→\n 21→### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n 22→\n 23→Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n 24→\n 25→```go\n 26→type parquetArchiveWriter struct {\n 27→ writer *pq.GenericWriter[ParquetMetricRow]\n 28→ bw *bufio.Writer\n 29→ f *os.File\n 30→ count int\n 31→}\n 32→\n 33→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\n 34→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group)\n 35→func (w *parquetArchiveWriter) Close() error\n 36→```\n 37→\n 38→- **Remove `SortingWriterConfig`** - no global sort buffer\n 39→- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n 40→- Each `Flush()` creates a separate row group per host\n 41→\n 42→### Step 2: Add row count estimation (`parquetArchive.go`)\n 43→\n 44→```go\n 45→func estimateRowCount(cf *CheckpointFile) int\n 46→```\n 47→\n 48→Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n 49→\n 50→### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n 51→\n 52→Change from:\n 53→```\n 54→workers → channel → accumulate allRows → writeParquetArchive(allRows)\n 55→```\n 56→\n 57→To:\n 58→```\n 59→open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n 60→```\n 61→\n 62→- Only one host's rows in memory at a time\n 63→- Track `files`/`dir` for deletion separately (don't retain rows)\n 64→- Check `writer.count > 0` instead of `len(allRows) == 0`\n 65→\n 66→### Step 4: Update test (`parquetArchive_test.go`)\n 67→\n 68→- `TestParquetArchiveRoundtrip`: use new streaming writer API\n 69→- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n 70→\n 71→## Files to Modify\n 72→\n 73→- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n 74→- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n 75→- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n 76→\n 77→## Memory Impact\n 78→\n 79→- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n 80→- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n 81→\n 82→## Sorting Tradeoff\n 83→\n 84→The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n 85→\n 86→## Verification\n 87→\n 88→```bash\n 89→go test -v ./pkg/metricstore/...\n 90→```\n 91→\n 92→Also verify with `go vet ./pkg/metricstore/...` for correctness.\n 93→"}]},"uuid":"820ca3ba-c7a2-4bca-9937-7389eb28a4f0","timestamp":"2026-03-18T04:03:47.129Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n writer *pq.GenericWriter[ParquetMetricRow]\n bw *bufio.Writer\n f *os.File\n count int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n","numLines":93,"startLine":1,"totalLines":93}},"sourceToolAssistantUUID":"0e523105-a262-4da4-8ce0-de57188c6867","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"type":"file-history-snapshot","messageId":"24b9150b-c58b-4643-90ee-51ca27affb84","snapshot":{"messageId":"d0aff897-2ad8-4102-9ad1-7f36847b602d","trackedFileBackups":{"pkg/metricstore/parquetArchive.go":{"backupFileName":"d23fbf0a668003f6@v2","version":2,"backupTime":"2026-03-18T04:02:21.790Z"},"pkg/metricstore/archive.go":{"backupFileName":"ece15caff8adb332@v2","version":2,"backupTime":"2026-03-18T04:02:21.790Z"},"pkg/metricstore/parquetArchive_test.go":{"backupFileName":"ff1d1bd41f147e09@v2","version":2,"backupTime":"2026-03-18T04:02:21.790Z"},"/Users/jan/.claude/plans/shimmering-wandering-flurry.md":{"backupFileName":"fb333cf8fc127174@v1","version":1,"backupTime":"2026-03-18T04:04:09.124Z"}},"timestamp":"2026-03-18T04:02:21.789Z"},"isSnapshotUpdate":true} +{"parentUuid":"820ca3ba-c7a2-4bca-9937-7389eb28a4f0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EwL47Q2XdLejr1ZgqEBUk4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GedVGpbmUyDDQ8S3jAgoTM","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Audit: SortingWriterConfig Memory Doubling in Parquet Writers\n\n## Context\n\nAfter fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch.\n\n## Findings\n\n### 1. Job Retention Writer — moderate risk\n**File**: `pkg/archive/parquet/writer.go:86-106`\n\n`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:\n- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**\n- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy\n\nThe sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data.\n\n**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy.\n\n### 2. NodeState Retention Writer — low risk\n**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`\n\nSame pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful.\n\n**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`.\n\n### 3. Metric Checkpoint Writer — already fixed\n**File**: `pkg/metricstore/parquetArchive.go`\n\nAlready addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`.\n\n## Recommendation\n\nApply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change.\n\n### Changes\n\n#### `pkg/archive/parquet/writer.go`\n- Add `\"sort\"` import\n- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n#### `pkg/archive/parquet/nodestate_writer.go`\n- Add `\"sort\"` import\n- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n### Memory Impact\n\n| Writer | Before (peak per flush) | After |\n|--------|------------------------|-------|\n| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |\n| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |\n\n### Verification\n\n```bash\ngo test -v ./pkg/archive/parquet/...\ngo vet ./pkg/archive/parquet/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1490,"cache_read_input_tokens":54617,"output_tokens":944,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1490,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9t7yLFg4b2Cfjvg1ZDm","type":"assistant","uuid":"24b9150b-c58b-4643-90ee-51ca27affb84","timestamp":"2026-03-18T04:04:09.115Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"24b9150b-c58b-4643-90ee-51ca27affb84","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01GedVGpbmUyDDQ8S3jAgoTM","toolUseID":"toolu_01GedVGpbmUyDDQ8S3jAgoTM","timestamp":"2026-03-18T04:04:09.128Z","uuid":"7946081a-a9ed-47dc-a7cb-6b97a7db574d","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"24b9150b-c58b-4643-90ee-51ca27affb84","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GedVGpbmUyDDQ8S3jAgoTM","type":"tool_result","content":"The file /Users/jan/.claude/plans/shimmering-wandering-flurry.md has been updated successfully."}]},"uuid":"33a3d7d3-f247-4792-bbe0-48205fa9d6b8","timestamp":"2026-03-18T04:04:09.128Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md","content":"# Audit: SortingWriterConfig Memory Doubling in Parquet Writers\n\n## Context\n\nAfter fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch.\n\n## Findings\n\n### 1. Job Retention Writer — moderate risk\n**File**: `pkg/archive/parquet/writer.go:86-106`\n\n`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:\n- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**\n- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy\n\nThe sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data.\n\n**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy.\n\n### 2. NodeState Retention Writer — low risk\n**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`\n\nSame pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful.\n\n**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`.\n\n### 3. Metric Checkpoint Writer — already fixed\n**File**: `pkg/metricstore/parquetArchive.go`\n\nAlready addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`.\n\n## Recommendation\n\nApply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change.\n\n### Changes\n\n#### `pkg/archive/parquet/writer.go`\n- Add `\"sort\"` import\n- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n#### `pkg/archive/parquet/nodestate_writer.go`\n- Add `\"sort\"` import\n- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n### Memory Impact\n\n| Writer | Before (peak per flush) | After |\n|--------|------------------------|-------|\n| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |\n| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |\n\n### Verification\n\n```bash\ngo test -v ./pkg/archive/parquet/...\ngo vet ./pkg/archive/parquet/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":92,"newStart":1,"newLines":60,"lines":["-# Fix: Memory Escalation in flattenCheckpointFile (68GB+)","+# Audit: SortingWriterConfig Memory Doubling in Parquet Writers"," "," ## Context"," ","-Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.","+After fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch."," ","-## Root Cause","+## Findings"," ","-Two-layer unbounded accumulation:","+### 1. Job Retention Writer — moderate risk","+**File**: `pkg/archive/parquet/writer.go:86-106`"," ","-1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice","-2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`","-3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling","+`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:","+- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**","+- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy"," ","-Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.","+The sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data."," ","-## Fix: Stream per-host to parquet writer","+**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy."," ","-Instead of accumulating all rows, write each host's data as a separate row group.","+### 2. NodeState Retention Writer — low risk","+**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`"," ","-### Step 1: Add streaming parquet writer (`parquetArchive.go`)","+Same pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful."," ","-Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:","+**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`."," ","-```go","-type parquetArchiveWriter struct {","- writer *pq.GenericWriter[ParquetMetricRow]","- bw *bufio.Writer","- f *os.File","- count int","-}","+### 3. Metric Checkpoint Writer — already fixed","+**File**: `pkg/metricstore/parquetArchive.go`"," ","-func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)","-func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group)","-func (w *parquetArchiveWriter) Close() error","-```","+Already addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`."," ","-- **Remove `SortingWriterConfig`** - no global sort buffer","-- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)","-- Each `Flush()` creates a separate row group per host","+## Recommendation"," ","-### Step 2: Add row count estimation (`parquetArchive.go`)","+Apply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change."," ","-```go","-func estimateRowCount(cf *CheckpointFile) int","-```","+### Changes"," ","-Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.","+#### `pkg/archive/parquet/writer.go`","+- Add `\"sort\"` import","+- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`","+- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options"," ","-### Step 3: Restructure `archiveCheckpoints` (`archive.go`)","+#### `pkg/archive/parquet/nodestate_writer.go`","+- Add `\"sort\"` import","+- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`","+- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options"," ","-Change from:","-```","-workers → channel → accumulate allRows → writeParquetArchive(allRows)","-```","+### Memory Impact"," ","-To:","-```","-open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer","-```","+| Writer | Before (peak per flush) | After |","+|--------|------------------------|-------|","+| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |","+| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |"," ","-- Only one host's rows in memory at a time","-- Track `files`/`dir` for deletion separately (don't retain rows)","-- Check `writer.count > 0` instead of `len(allRows) == 0`","+### Verification"," ","-### Step 4: Update test (`parquetArchive_test.go`)","-","-- `TestParquetArchiveRoundtrip`: use new streaming writer API","-- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)","-","-## Files to Modify","-","-- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import","-- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream","-- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test","-","-## Memory Impact","-","-- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+","-- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak","-","-## Sorting Tradeoff","-","-The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).","-","-## Verification","-"," ```bash","-go test -v ./pkg/metricstore/...","+go test -v ./pkg/archive/parquet/...","+go vet ./pkg/archive/parquet/..."," ```","-","-Also verify with `go vet ./pkg/metricstore/...` for correctness."]}],"originalFile":"# Fix: Memory Escalation in flattenCheckpointFile (68GB+)\n\n## Context\n\nProduction gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally.\n\n## Root Cause\n\nTwo-layer unbounded accumulation:\n\n1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice\n2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()`\n3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling\n\nPeak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size.\n\n## Fix: Stream per-host to parquet writer\n\nInstead of accumulating all rows, write each host's data as a separate row group.\n\n### Step 1: Add streaming parquet writer (`parquetArchive.go`)\n\nReplace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes:\n\n```go\ntype parquetArchiveWriter struct {\n writer *pq.GenericWriter[ParquetMetricRow]\n bw *bufio.Writer\n f *os.File\n count int\n}\n\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error)\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group)\nfunc (w *parquetArchiveWriter) Close() error\n```\n\n- **Remove `SortingWriterConfig`** - no global sort buffer\n- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data)\n- Each `Flush()` creates a separate row group per host\n\n### Step 2: Add row count estimation (`parquetArchive.go`)\n\n```go\nfunc estimateRowCount(cf *CheckpointFile) int\n```\n\nPre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host.\n\n### Step 3: Restructure `archiveCheckpoints` (`archive.go`)\n\nChange from:\n```\nworkers → channel → accumulate allRows → writeParquetArchive(allRows)\n```\n\nTo:\n```\nopen writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer\n```\n\n- Only one host's rows in memory at a time\n- Track `files`/`dir` for deletion separately (don't retain rows)\n- Check `writer.count > 0` instead of `len(allRows) == 0`\n\n### Step 4: Update test (`parquetArchive_test.go`)\n\n- `TestParquetArchiveRoundtrip`: use new streaming writer API\n- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size)\n\n## Files to Modify\n\n- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `\"sort\"` import\n- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream\n- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test\n\n## Memory Impact\n\n- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+\n- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak\n\n## Sorting Tradeoff\n\nThe output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping).\n\n## Verification\n\n```bash\ngo test -v ./pkg/metricstore/...\n```\n\nAlso verify with `go vet ./pkg/metricstore/...` for correctness.\n"},"sourceToolAssistantUUID":"24b9150b-c58b-4643-90ee-51ca27affb84","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"33a3d7d3-f247-4792-bbe0-48205fa9d6b8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FhMW7DMLPMJtX5qAbDRUHn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MB8m76U37bTSZvZgNRPPFn","name":"ToolSearch","input":{"query":"select:ExitPlanMode","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1079,"cache_read_input_tokens":56107,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1079,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9t9bRBygTsgfb8AWmA8","type":"assistant","uuid":"c87cbba4-6bc3-44a3-b0f3-9a25b8f157c3","timestamp":"2026-03-18T04:04:14.427Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"c87cbba4-6bc3-44a3-b0f3-9a25b8f157c3","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01MB8m76U37bTSZvZgNRPPFn","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"e511676b-038b-47e4-add3-f205f7f18fe1","timestamp":"2026-03-18T04:04:14.429Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"c87cbba4-6bc3-44a3-b0f3-9a25b8f157c3","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"e511676b-038b-47e4-add3-f205f7f18fe1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QxS4Nm7MmwEvvjrAR3tMPq","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nHere's what I found:\n\n**Two other writers use `SortingWriterConfig`**, which doubles memory per batch:\n\n1. **Job retention** (`pkg/archive/parquet/writer.go:89-96`) — batched at 512MB default, but `SortingWriterConfig` doubles it to ~1GB peak per flush. `ParquetJobRow` includes `MetricDataGz []byte` which makes rows heavy.\n\n2. **NodeState retention** (`pkg/archive/parquet/nodestate_writer.go:85-93`) — batched at 128MB default, doubling to ~256MB. Rows are small (~150 bytes), so this is low risk but still wasteful.\n\nNeither is catastrophic like the checkpoint case (which had NO batching at all), because `maxSizeBytes` caps each batch. But the `SortingWriterConfig` still unnecessarily copies all batch rows internally.\n\nThe fix is the same pattern we already used: **pre-sort rows in-place with `sort.Slice`, remove `SortingWriterConfig`**. This halves peak memory per flush with identical output."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1817,"cache_read_input_tokens":56107,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1817},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9t9z9vXZht2ydikKnox","type":"assistant","uuid":"671c15f1-a9c4-4c55-80b3-6452574319f3","timestamp":"2026-03-18T04:04:25.108Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"671c15f1-a9c4-4c55-80b3-6452574319f3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QxS4Nm7MmwEvvjrAR3tMPq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SKhtziAY4y9pfEEXT7v2BQ","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run tests and vet for pkg/archive/parquet"}],"plan":"# Audit: SortingWriterConfig Memory Doubling in Parquet Writers\n\n## Context\n\nAfter fixing the 68GB+ memory spike in `flattenCheckpointFile` (already implemented on this branch), the user asks whether other parquet writers in the codebase have similar memory issues. Specifically, `SortingWriterConfig` buffers ALL rows internally until `Close()`, effectively doubling memory usage per batch.\n\n## Findings\n\n### 1. Job Retention Writer — moderate risk\n**File**: `pkg/archive/parquet/writer.go:86-106`\n\n`writeParquetBytes()` uses `SortingWriterConfig` with `bytes.Buffer`. The batching via `maxSizeBytes` (default 512MB) caps the damage, but `SortingWriterConfig` still doubles memory within each batch:\n- Peak per-flush = batch rows (~512MB) + sorting writer copy (~512MB) = **~1GB**\n- `ParquetJobRow.MetricDataGz` (compressed metric data blob) can be large, making rows heavy\n\nThe sorting columns are `(sub_cluster, project, start_time)` — this provides marginal compression benefit for already-batched data.\n\n**Mitigation**: Remove `SortingWriterConfig`. Pre-sort `pw.rows` in-place with `sort.Slice` before calling `writer.Write()`. Same output order, no internal copy.\n\n### 2. NodeState Retention Writer — low risk\n**File**: `pkg/archive/parquet/nodestate_writer.go:82-103`\n\nSame pattern: `SortingWriterConfig` in `writeNodeStateParquetBytes()`. Default batch cap is 128MB. `ParquetNodeStateRow` is small (~150 bytes per row), so the doubling yields ~256MB peak at worst. Not catastrophic, but still wasteful.\n\n**Mitigation**: Same fix — pre-sort, remove `SortingWriterConfig`.\n\n### 3. Metric Checkpoint Writer — already fixed\n**File**: `pkg/metricstore/parquetArchive.go`\n\nAlready addressed in the current branch changes. Uses streaming row groups, no `SortingWriterConfig`.\n\n## Recommendation\n\nApply the same pattern used in the checkpoint fix: **pre-sort rows in-place, remove `SortingWriterConfig`**. This halves peak memory per flush in both writers with zero output change.\n\n### Changes\n\n#### `pkg/archive/parquet/writer.go`\n- Add `\"sort\"` import\n- In `writeParquetBytes()`: sort `rows` by `(sub_cluster, project, start_time)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n#### `pkg/archive/parquet/nodestate_writer.go`\n- Add `\"sort\"` import\n- In `writeNodeStateParquetBytes()`: sort `rows` by `(cluster, subcluster, hostname, time_stamp)` before `writer.Write()`\n- Remove `SortingWriterConfig(...)` from `pq.NewGenericWriter` options\n\n### Memory Impact\n\n| Writer | Before (peak per flush) | After |\n|--------|------------------------|-------|\n| Job retention | ~2x batch (~1GB at 512MB default) | ~1x batch (~512MB) |\n| NodeState retention | ~2x batch (~256MB at 128MB default) | ~1x batch (~128MB) |\n\n### Verification\n\n```bash\ngo test -v ./pkg/archive/parquet/...\ngo vet ./pkg/archive/parquet/...\n```\n","planFilePath":"/Users/jan/.claude/plans/shimmering-wandering-flurry.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1817,"cache_read_input_tokens":56107,"output_tokens":343,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1817,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9t9z9vXZht2ydikKnox","type":"assistant","uuid":"268c6603-bcb3-4ff1-90c1-3b1ac1b66dba","timestamp":"2026-03-18T04:04:25.885Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"268c6603-bcb3-4ff1-90c1-3b1ac1b66dba","isSidechain":false,"promptId":"ba68d540-ba70-4f66-94e7-2c9d72fab3f4","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). 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Compare and explain differences."},"uuid":"005e5240-d272-4d5d-8788-91359f385c60","timestamp":"2026-03-18T04:15:40.358Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"005e5240-d272-4d5d-8788-91359f385c60","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019bbVRFRwS11vyYNd9FQCHi","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4739,"cache_read_input_tokens":57924,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4739},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9u2apeB76X5pmJHyZfg","type":"assistant","uuid":"cbb34a3e-a7e6-4318-90fe-31834ae788e8","timestamp":"2026-03-18T04:15:44.807Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"cbb34a3e-a7e6-4318-90fe-31834ae788e8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019bbVRFRwS11vyYNd9FQCHi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bd4jXeKitPbMrorCxFEA2Z","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4739,"cache_read_input_tokens":57924,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4739},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9u2apeB76X5pmJHyZfg","type":"assistant","uuid":"7c5c5a50-d691-4409-a21b-afad18cfc15d","timestamp":"2026-03-18T04:15:45.427Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"7c5c5a50-d691-4409-a21b-afad18cfc15d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Bd4jXeKitPbMrorCxFEA2Z","toolUseID":"toolu_01Bd4jXeKitPbMrorCxFEA2Z","timestamp":"2026-03-18T04:15:45.457Z","uuid":"65fc80e5-a6d4-4518-b967-ebe501bc0706","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"7c5c5a50-d691-4409-a21b-afad18cfc15d","isSidechain":false,"promptId":"818611a2-b158-437a-8bb3-d87143ab3074","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bd4jXeKitPbMrorCxFEA2Z","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"bufio\"\n 10→\t\"encoding/binary\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"os\"\n 14→\t\"path/filepath\"\n 15→\t\"sort\"\n 16→\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\tpq \"github.com/parquet-go/parquet-go\"\n 19→)\n 20→\n 21→// ParquetMetricRow is the long-format schema for archived metric data.\n 22→// One row per (host, metric, scope, scope_id, timestamp) data point.\n 23→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n 24→type ParquetMetricRow struct {\n 25→\tCluster string `parquet:\"cluster\"`\n 26→\tHostname string `parquet:\"hostname\"`\n 27→\tMetric string `parquet:\"metric\"`\n 28→\tScope string `parquet:\"scope\"`\n 29→\tScopeID string `parquet:\"scope_id\"`\n 30→\tTimestamp int64 `parquet:\"timestamp\"`\n 31→\tFrequency int64 `parquet:\"frequency\"`\n 32→\tValue float32 `parquet:\"value\"`\n 33→}\n 34→\n 35→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n 36→// The scope path is built from the hierarchy: host level is \"node\", then child names\n 37→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n 38→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n 39→\tfor metricName, cm := range cf.Metrics {\n 40→\t\tts := cm.Start\n 41→\t\tfor _, v := range cm.Data {\n 42→\t\t\tif !v.IsNaN() {\n 43→\t\t\t\trows = append(rows, ParquetMetricRow{\n 44→\t\t\t\t\tCluster: cluster,\n 45→\t\t\t\t\tHostname: hostname,\n 46→\t\t\t\t\tMetric: metricName,\n 47→\t\t\t\t\tScope: scope,\n 48→\t\t\t\t\tScopeID: scopeID,\n 49→\t\t\t\t\tTimestamp: ts,\n 50→\t\t\t\t\tFrequency: cm.Frequency,\n 51→\t\t\t\t\tValue: float32(v),\n 52→\t\t\t\t})\n 53→\t\t\t}\n 54→\t\t\tts += cm.Frequency\n 55→\t\t}\n 56→\t}\n 57→\n 58→\tfor childName, childCf := range cf.Children {\n 59→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n 60→\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n 61→\t}\n 62→\n 63→\treturn rows\n 64→}\n 65→\n 66→// parseScopeFromName infers scope and scope_id from a child level name.\n 67→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n 68→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n 69→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n 70→func parseScopeFromName(name string) (string, string) {\n 71→\tprefixes := []struct {\n 72→\t\tprefix string\n 73→\t\tscope string\n 74→\t}{\n 75→\t\t{\"socket\", \"socket\"},\n 76→\t\t{\"memoryDomain\", \"memoryDomain\"},\n 77→\t\t{\"core\", \"core\"},\n 78→\t\t{\"hwthread\", \"hwthread\"},\n 79→\t\t{\"cpu\", \"hwthread\"},\n 80→\t\t{\"accelerator\", \"accelerator\"},\n 81→\t}\n 82→\n 83→\tfor _, p := range prefixes {\n 84→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n 85→\t\t\tid := name[len(p.prefix):]\n 86→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n 87→\t\t\t\treturn p.scope, id\n 88→\t\t\t}\n 89→\t\t}\n 90→\t}\n 91→\n 92→\treturn name, \"\"\n 93→}\n 94→\n 95→// parquetArchiveWriter supports incremental writes to a Parquet file.\n 96→// Each call to WriteHostRows writes one row group (typically one host's data),\n 97→// avoiding accumulation of all rows in memory.\n 98→type parquetArchiveWriter struct {\n 99→\twriter *pq.GenericWriter[ParquetMetricRow]\n 100→\tbw *bufio.Writer\n 101→\tf *os.File\n 102→\tcount int\n 103→}\n 104→\n 105→// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\n 106→func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n 107→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n 108→\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n 109→\t}\n 110→\n 111→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 112→\tif err != nil {\n 113→\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n 114→\t}\n 115→\n 116→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n 117→\n 118→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n 119→\t\tpq.Compression(&pq.Zstd),\n 120→\t)\n 121→\n 122→\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n 123→}\n 124→\n 125→// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n 126→// and flushes to create a separate row group.\n 127→func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n 128→\tsort.Slice(rows, func(i, j int) bool {\n 129→\t\tif rows[i].Metric != rows[j].Metric {\n 130→\t\t\treturn rows[i].Metric < rows[j].Metric\n 131→\t\t}\n 132→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n 133→\t})\n 134→\n 135→\tif _, err := w.writer.Write(rows); err != nil {\n 136→\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n 137→\t}\n 138→\n 139→\tif err := w.writer.Flush(); err != nil {\n 140→\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n 141→\t}\n 142→\n 143→\tw.count += len(rows)\n 144→\treturn nil\n 145→}\n 146→\n 147→// Close finalises the Parquet file (footer, buffered I/O, file handle).\n 148→func (w *parquetArchiveWriter) Close() error {\n 149→\tif err := w.writer.Close(); err != nil {\n 150→\t\tw.f.Close()\n 151→\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n 152→\t}\n 153→\n 154→\tif err := w.bw.Flush(); err != nil {\n 155→\t\tw.f.Close()\n 156→\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n 157→\t}\n 158→\n 159→\treturn w.f.Close()\n 160→}\n 161→\n 162→// sortParquetRows sorts rows by (metric, timestamp) in-place.\n 163→func sortParquetRows(rows []ParquetMetricRow) {\n 164→\tsort.Slice(rows, func(i, j int) bool {\n 165→\t\tif rows[i].Metric != rows[j].Metric {\n 166→\t\t\treturn rows[i].Metric < rows[j].Metric\n 167→\t\t}\n 168→\t\treturn rows[i].Timestamp < rows[j].Timestamp\n 169→\t})\n 170→}\n 171→\n 172→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n 173→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n 174→// before converting it to Parquet format.\n 175→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n 176→\tf, err := os.Open(filename)\n 177→\tif err != nil {\n 178→\t\treturn nil, err\n 179→\t}\n 180→\tdefer f.Close()\n 181→\n 182→\text := filepath.Ext(filename)\n 183→\tswitch ext {\n 184→\tcase \".json\":\n 185→\t\tcf := &CheckpointFile{}\n 186→\t\tbr := bufio.NewReader(f)\n 187→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 188→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n 189→\t\t}\n 190→\t\treturn cf, nil\n 191→\n 192→\tcase \".bin\":\n 193→\t\tbr := bufio.NewReader(f)\n 194→\t\tvar magic uint32\n 195→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n 196→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n 197→\t\t}\n 198→\t\tif magic != snapFileMagic {\n 199→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n 200→\t\t}\n 201→\t\tvar fileFrom, fileTo int64\n 202→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n 203→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n 204→\t\t}\n 205→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n 206→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n 207→\t\t}\n 208→\t\tcf, err := readBinaryLevel(br)\n 209→\t\tif err != nil {\n 210→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n 211→\t\t}\n 212→\t\tcf.From = fileFrom\n 213→\t\tcf.To = fileTo\n 214→\t\treturn cf, nil\n 215→\n 216→\tdefault:\n 217→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n 218→\t}\n 219→}\n 220→\n 221→// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n 222→// Used for pre-allocating the rows slice to avoid repeated append doubling.\n 223→func estimateRowCount(cf *CheckpointFile) int {\n 224→\tn := 0\n 225→\tfor _, cm := range cf.Metrics {\n 226→\t\tn += len(cm.Data)\n 227→\t}\n 228→\tfor _, child := range cf.Children {\n 229→\t\tn += estimateRowCount(child)\n 230→\t}\n 231→\treturn n\n 232→}\n 233→\n 234→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n 235→// converts them to Parquet rows. Returns the rows and filenames that were processed.\n 236→func archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n 237→\tentries, err := os.ReadDir(dir)\n 238→\tif err != nil {\n 239→\t\treturn nil, nil, err\n 240→\t}\n 241→\n 242→\tfiles, err := findFiles(entries, from, false)\n 243→\tif err != nil {\n 244→\t\treturn nil, nil, err\n 245→\t}\n 246→\n 247→\tif len(files) == 0 {\n 248→\t\treturn nil, nil, nil\n 249→\t}\n 250→\n 251→\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n 252→\ttype loaded struct {\n 253→\t\tcf *CheckpointFile\n 254→\t\tfilename string\n 255→\t}\n 256→\tvar checkpoints []loaded\n 257→\ttotalEstimate := 0\n 258→\n 259→\tfor _, checkpoint := range files {\n 260→\t\tfilename := filepath.Join(dir, checkpoint)\n 261→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n 262→\t\tif err != nil {\n 263→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n 264→\t\t\tcontinue\n 265→\t\t}\n 266→\t\ttotalEstimate += estimateRowCount(cf)\n 267→\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n 268→\t}\n 269→\n 270→\tif len(checkpoints) == 0 {\n 271→\t\treturn nil, nil, nil\n 272→\t}\n 273→\n 274→\trows := make([]ParquetMetricRow, 0, totalEstimate)\n 275→\tprocessedFiles := make([]string, 0, len(checkpoints))\n 276→\n 277→\tfor _, cp := range checkpoints {\n 278→\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n 279→\t\tprocessedFiles = append(processedFiles, cp.filename)\n 280→\t}\n 281→\n 282→\treturn rows, processedFiles, nil\n 283→}\n 284→"}]},"uuid":"a8ad17a0-acb9-494a-bb7f-a355ea45a0c6","timestamp":"2026-03-18T04:15:45.457Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/parquetArchive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sort\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster string `parquet:\"cluster\"`\n\tHostname string `parquet:\"hostname\"`\n\tMetric string `parquet:\"metric\"`\n\tScope string `parquet:\"scope\"`\n\tScopeID string `parquet:\"scope_id\"`\n\tTimestamp int64 `parquet:\"timestamp\"`\n\tFrequency int64 `parquet:\"frequency\"`\n\tValue float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rows []ParquetMetricRow) []ParquetMetricRow {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trows = append(rows, ParquetMetricRow{\n\t\t\t\t\tCluster: cluster,\n\t\t\t\t\tHostname: hostname,\n\t\t\t\t\tMetric: metricName,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tScopeID: scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue: float32(v),\n\t\t\t\t})\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\trows = flattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rows)\n\t}\n\n\treturn rows\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// parquetArchiveWriter supports incremental writes to a Parquet file.\n// Each call to WriteHostRows writes one row group (typically one host's data),\n// avoiding accumulation of all rows in memory.\ntype parquetArchiveWriter struct {\n\twriter *pq.GenericWriter[ParquetMetricRow]\n\tbw *bufio.Writer\n\tf *os.File\n\tcount int\n}\n\n// newParquetArchiveWriter creates a streaming Parquet writer with Zstd compression.\nfunc newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\treturn nil, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t)\n\n\treturn &parquetArchiveWriter{writer: writer, bw: bw, f: f}, nil\n}\n\n// WriteHostRows sorts rows by (metric, timestamp) in-place, writes them,\n// and flushes to create a separate row group.\nfunc (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n\n\tif _, err := w.writer.Write(rows); err != nil {\n\t\treturn fmt.Errorf(\"writing parquet rows: %w\", err)\n\t}\n\n\tif err := w.writer.Flush(); err != nil {\n\t\treturn fmt.Errorf(\"flushing parquet row group: %w\", err)\n\t}\n\n\tw.count += len(rows)\n\treturn nil\n}\n\n// Close finalises the Parquet file (footer, buffered I/O, file handle).\nfunc (w *parquetArchiveWriter) Close() error {\n\tif err := w.writer.Close(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := w.bw.Flush(); err != nil {\n\t\tw.f.Close()\n\t\treturn fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn w.f.Close()\n}\n\n// sortParquetRows sorts rows by (metric, timestamp) in-place.\nfunc sortParquetRows(rows []ParquetMetricRow) {\n\tsort.Slice(rows, func(i, j int) bool {\n\t\tif rows[i].Metric != rows[j].Metric {\n\t\t\treturn rows[i].Metric < rows[j].Metric\n\t\t}\n\t\treturn rows[i].Timestamp < rows[j].Timestamp\n\t})\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// estimateRowCount estimates the number of Parquet rows a CheckpointFile will produce.\n// Used for pre-allocating the rows slice to avoid repeated append doubling.\nfunc estimateRowCount(cf *CheckpointFile) int {\n\tn := 0\n\tfor _, cm := range cf.Metrics {\n\t\tn += len(cm.Data)\n\t}\n\tfor _, child := range cf.Children {\n\t\tn += estimateRowCount(child)\n\t}\n\treturn n\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the rows and filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64) ([]ParquetMetricRow, []string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\t// First pass: load checkpoints and estimate total rows for pre-allocation.\n\ttype loaded struct {\n\t\tcf *CheckpointFile\n\t\tfilename string\n\t}\n\tvar checkpoints []loaded\n\ttotalEstimate := 0\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\t\ttotalEstimate += estimateRowCount(cf)\n\t\tcheckpoints = append(checkpoints, loaded{cf: cf, filename: checkpoint})\n\t}\n\n\tif len(checkpoints) == 0 {\n\t\treturn nil, nil, nil\n\t}\n\n\trows := make([]ParquetMetricRow, 0, totalEstimate)\n\tprocessedFiles := make([]string, 0, len(checkpoints))\n\n\tfor _, cp := range checkpoints {\n\t\trows = flattenCheckpointFile(cp.cf, cluster, host, \"node\", \"\", rows)\n\t\tprocessedFiles = append(processedFiles, cp.filename)\n\t}\n\n\treturn rows, processedFiles, nil\n}\n","numLines":284,"startLine":1,"totalLines":284}},"sourceToolAssistantUUID":"7c5c5a50-d691-4409-a21b-afad18cfc15d","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"a8ad17a0-acb9-494a-bb7f-a355ea45a0c6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019bbVRFRwS11vyYNd9FQCHi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CdoArKs92ADWc8LJp6XUT1","name":"Read","input":{"file_path":"/Users/jan/tmp/cc-backend/pkg/metricstore/parquetArchive.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4739,"cache_read_input_tokens":57924,"output_tokens":211,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4739,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9u2apeB76X5pmJHyZfg","type":"assistant","uuid":"98c39255-0c74-4b80-bb95-b89ce1fcdb14","timestamp":"2026-03-18T04:15:45.499Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"98c39255-0c74-4b80-bb95-b89ce1fcdb14","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01CdoArKs92ADWc8LJp6XUT1","toolUseID":"toolu_01CdoArKs92ADWc8LJp6XUT1","timestamp":"2026-03-18T04:15:47.812Z","uuid":"07eb436a-4824-4be1-855a-8420ec276d2d","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"98c39255-0c74-4b80-bb95-b89ce1fcdb14","isSidechain":false,"promptId":"818611a2-b158-437a-8bb3-d87143ab3074","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CdoArKs92ADWc8LJp6XUT1","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"bufio\"\n 10→\t\"encoding/binary\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"os\"\n 14→\t\"path/filepath\"\n 15→\n 16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 17→\tpq \"github.com/parquet-go/parquet-go\"\n 18→)\n 19→\n 20→// ParquetMetricRow is the long-format schema for archived metric data.\n 21→// One row per (host, metric, scope, scope_id, timestamp) data point.\n 22→// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\n 23→type ParquetMetricRow struct {\n 24→\tCluster string `parquet:\"cluster\"`\n 25→\tHostname string `parquet:\"hostname\"`\n 26→\tMetric string `parquet:\"metric\"`\n 27→\tScope string `parquet:\"scope\"`\n 28→\tScopeID string `parquet:\"scope_id\"`\n 29→\tTimestamp int64 `parquet:\"timestamp\"`\n 30→\tFrequency int64 `parquet:\"frequency\"`\n 31→\tValue float32 `parquet:\"value\"`\n 32→}\n 33→\n 34→// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows via a channel.\n 35→// The scope path is built from the hierarchy: host level is \"node\", then child names\n 36→// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\n 37→func flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rowChan chan<- *ParquetMetricRow) {\n 38→\tfor metricName, cm := range cf.Metrics {\n 39→\t\tts := cm.Start\n 40→\t\tfor _, v := range cm.Data {\n 41→\t\t\tif !v.IsNaN() {\n 42→\t\t\t\trowChan <- &ParquetMetricRow{\n 43→\t\t\t\t\tCluster: cluster,\n 44→\t\t\t\t\tHostname: hostname,\n 45→\t\t\t\t\tMetric: metricName,\n 46→\t\t\t\t\tScope: scope,\n 47→\t\t\t\t\tScopeID: scopeID,\n 48→\t\t\t\t\tTimestamp: ts,\n 49→\t\t\t\t\tFrequency: cm.Frequency,\n 50→\t\t\t\t\tValue: float32(v),\n 51→\t\t\t\t}\n 52→\t\t\t}\n 53→\t\t\tts += cm.Frequency\n 54→\t\t}\n 55→\t}\n 56→\n 57→\tfor childName, childCf := range cf.Children {\n 58→\t\tchildScope, childScopeID := parseScopeFromName(childName)\n 59→\t\tflattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rowChan)\n 60→\t}\n 61→}\n 62→\n 63→// parseScopeFromName infers scope and scope_id from a child level name.\n 64→// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n 65→// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n 66→// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\n 67→func parseScopeFromName(name string) (string, string) {\n 68→\tprefixes := []struct {\n 69→\t\tprefix string\n 70→\t\tscope string\n 71→\t}{\n 72→\t\t{\"socket\", \"socket\"},\n 73→\t\t{\"memoryDomain\", \"memoryDomain\"},\n 74→\t\t{\"core\", \"core\"},\n 75→\t\t{\"hwthread\", \"hwthread\"},\n 76→\t\t{\"cpu\", \"hwthread\"},\n 77→\t\t{\"accelerator\", \"accelerator\"},\n 78→\t}\n 79→\n 80→\tfor _, p := range prefixes {\n 81→\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n 82→\t\t\tid := name[len(p.prefix):]\n 83→\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n 84→\t\t\t\treturn p.scope, id\n 85→\t\t\t}\n 86→\t\t}\n 87→\t}\n 88→\n 89→\treturn name, \"\"\n 90→}\n 91→\n 92→// writeParquetArchiveStream writes rows from a channel to a Parquet file with Zstd compression in batches.\n 93→func writeParquetArchiveStream(filename string, rowChan <-chan *ParquetMetricRow) (int, error) {\n 94→\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n 95→\t\tgo func() {\n 96→\t\t\tfor range rowChan {\n 97→\t\t\t}\n 98→\t\t}()\n 99→\t\treturn 0, fmt.Errorf(\"creating archive directory: %w\", err)\n 100→\t}\n 101→\n 102→\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 103→\tif err != nil {\n 104→\t\tgo func() {\n 105→\t\t\tfor range rowChan {\n 106→\t\t\t}\n 107→\t\t}()\n 108→\t\treturn 0, fmt.Errorf(\"creating parquet file: %w\", err)\n 109→\t}\n 110→\tdefer f.Close()\n 111→\n 112→\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n 113→\n 114→\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n 115→\t\tpq.Compression(&pq.Zstd),\n 116→\t\tpq.SortingWriterConfig(pq.SortingColumns(\n 117→\t\t\tpq.Ascending(\"cluster\"),\n 118→\t\t\tpq.Ascending(\"hostname\"),\n 119→\t\t\tpq.Ascending(\"metric\"),\n 120→\t\t\tpq.Ascending(\"timestamp\"),\n 121→\t\t)),\n 122→\t)\n 123→\n 124→\tbatchSize := 4096\n 125→\tbatch := make([]ParquetMetricRow, 0, batchSize)\n 126→\trowCount := 0\n 127→\tvar writeErr error\n 128→\n 129→\tfor rowPtr := range rowChan {\n 130→\t\tif writeErr != nil {\n 131→\t\t\tcontinue // Drain the channel to prevent worker deadlock\n 132→\t\t}\n 133→\t\tbatch = append(batch, *rowPtr)\n 134→\t\tif len(batch) >= batchSize {\n 135→\t\t\tif _, err := writer.Write(batch); err != nil {\n 136→\t\t\t\twriteErr = fmt.Errorf(\"writing parquet batch: %w\", err)\n 137→\t\t\t}\n 138→\t\t\trowCount += len(batch)\n 139→\t\t\tbatch = batch[:0]\n 140→\t\t}\n 141→\t}\n 142→\n 143→\tif writeErr != nil {\n 144→\t\treturn rowCount, writeErr\n 145→\t}\n 146→\n 147→\tif len(batch) > 0 {\n 148→\t\tif _, err := writer.Write(batch); err != nil {\n 149→\t\t\treturn rowCount, fmt.Errorf(\"writing remaining parquet batch: %w\", err)\n 150→\t\t}\n 151→\t\trowCount += len(batch)\n 152→\t}\n 153→\n 154→\tif err := writer.Close(); err != nil {\n 155→\t\treturn rowCount, fmt.Errorf(\"closing parquet writer: %w\", err)\n 156→\t}\n 157→\n 158→\tif err := bw.Flush(); err != nil {\n 159→\t\treturn rowCount, fmt.Errorf(\"flushing parquet file: %w\", err)\n 160→\t}\n 161→\n 162→\treturn rowCount, nil\n 163→}\n 164→\n 165→// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n 166→// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n 167→// before converting it to Parquet format.\n 168→func loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n 169→\tf, err := os.Open(filename)\n 170→\tif err != nil {\n 171→\t\treturn nil, err\n 172→\t}\n 173→\tdefer f.Close()\n 174→\n 175→\text := filepath.Ext(filename)\n 176→\tswitch ext {\n 177→\tcase \".json\":\n 178→\t\tcf := &CheckpointFile{}\n 179→\t\tbr := bufio.NewReader(f)\n 180→\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 181→\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n 182→\t\t}\n 183→\t\treturn cf, nil\n 184→\n 185→\tcase \".bin\":\n 186→\t\tbr := bufio.NewReader(f)\n 187→\t\tvar magic uint32\n 188→\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n 189→\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n 190→\t\t}\n 191→\t\tif magic != snapFileMagic {\n 192→\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n 193→\t\t}\n 194→\t\tvar fileFrom, fileTo int64\n 195→\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n 196→\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n 197→\t\t}\n 198→\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n 199→\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n 200→\t\t}\n 201→\t\tcf, err := readBinaryLevel(br)\n 202→\t\tif err != nil {\n 203→\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n 204→\t\t}\n 205→\t\tcf.From = fileFrom\n 206→\t\tcf.To = fileTo\n 207→\t\treturn cf, nil\n 208→\n 209→\tdefault:\n 210→\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n 211→\t}\n 212→}\n 213→\n 214→// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n 215→// converts them to Parquet rows. Returns the filenames that were processed.\n 216→func archiveCheckpointsToParquet(dir, cluster, host string, from int64, rowChan chan<- *ParquetMetricRow) ([]string, error) {\n 217→\tentries, err := os.ReadDir(dir)\n 218→\tif err != nil {\n 219→\t\treturn nil, err\n 220→\t}\n 221→\n 222→\tfiles, err := findFiles(entries, from, false)\n 223→\tif err != nil {\n 224→\t\treturn nil, err\n 225→\t}\n 226→\n 227→\tif len(files) == 0 {\n 228→\t\treturn nil, nil\n 229→\t}\n 230→\n 231→\tfor _, checkpoint := range files {\n 232→\t\tfilename := filepath.Join(dir, checkpoint)\n 233→\t\tcf, err := loadCheckpointFileFromDisk(filename)\n 234→\t\tif err != nil {\n 235→\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n 236→\t\t\tcontinue\n 237→\t\t}\n 238→\n 239→\t\tflattenCheckpointFile(cf, cluster, host, \"node\", \"\", rowChan)\n 240→\t}\n 241→\n 242→\treturn files, nil\n 243→}\n 244→"}]},"uuid":"70268700-0562-475c-9bb1-8ac1d78195a4","timestamp":"2026-03-18T04:15:47.811Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/tmp/cc-backend/pkg/metricstore/parquetArchive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"encoding/binary\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tpq \"github.com/parquet-go/parquet-go\"\n)\n\n// ParquetMetricRow is the long-format schema for archived metric data.\n// One row per (host, metric, scope, scope_id, timestamp) data point.\n// Sorted by (cluster, hostname, metric, timestamp) for optimal compression.\ntype ParquetMetricRow struct {\n\tCluster string `parquet:\"cluster\"`\n\tHostname string `parquet:\"hostname\"`\n\tMetric string `parquet:\"metric\"`\n\tScope string `parquet:\"scope\"`\n\tScopeID string `parquet:\"scope_id\"`\n\tTimestamp int64 `parquet:\"timestamp\"`\n\tFrequency int64 `parquet:\"frequency\"`\n\tValue float32 `parquet:\"value\"`\n}\n\n// flattenCheckpointFile recursively converts a CheckpointFile tree into Parquet rows via a channel.\n// The scope path is built from the hierarchy: host level is \"node\", then child names\n// map to scope/scope_id (e.g., \"socket0\" → scope=\"socket\", scope_id=\"0\").\nfunc flattenCheckpointFile(cf *CheckpointFile, cluster, hostname, scope, scopeID string, rowChan chan<- *ParquetMetricRow) {\n\tfor metricName, cm := range cf.Metrics {\n\t\tts := cm.Start\n\t\tfor _, v := range cm.Data {\n\t\t\tif !v.IsNaN() {\n\t\t\t\trowChan <- &ParquetMetricRow{\n\t\t\t\t\tCluster: cluster,\n\t\t\t\t\tHostname: hostname,\n\t\t\t\t\tMetric: metricName,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tScopeID: scopeID,\n\t\t\t\t\tTimestamp: ts,\n\t\t\t\t\tFrequency: cm.Frequency,\n\t\t\t\t\tValue: float32(v),\n\t\t\t\t}\n\t\t\t}\n\t\t\tts += cm.Frequency\n\t\t}\n\t}\n\n\tfor childName, childCf := range cf.Children {\n\t\tchildScope, childScopeID := parseScopeFromName(childName)\n\t\tflattenCheckpointFile(childCf, cluster, hostname, childScope, childScopeID, rowChan)\n\t}\n}\n\n// parseScopeFromName infers scope and scope_id from a child level name.\n// Examples: \"socket0\" → (\"socket\", \"0\"), \"core12\" → (\"core\", \"12\"),\n// \"a0\" (accelerator) → (\"accelerator\", \"0\").\n// If the name doesn't match known patterns, it's used as-is for scope with empty scope_id.\nfunc parseScopeFromName(name string) (string, string) {\n\tprefixes := []struct {\n\t\tprefix string\n\t\tscope string\n\t}{\n\t\t{\"socket\", \"socket\"},\n\t\t{\"memoryDomain\", \"memoryDomain\"},\n\t\t{\"core\", \"core\"},\n\t\t{\"hwthread\", \"hwthread\"},\n\t\t{\"cpu\", \"hwthread\"},\n\t\t{\"accelerator\", \"accelerator\"},\n\t}\n\n\tfor _, p := range prefixes {\n\t\tif len(name) > len(p.prefix) && name[:len(p.prefix)] == p.prefix {\n\t\t\tid := name[len(p.prefix):]\n\t\t\tif len(id) > 0 && id[0] >= '0' && id[0] <= '9' {\n\t\t\t\treturn p.scope, id\n\t\t\t}\n\t\t}\n\t}\n\n\treturn name, \"\"\n}\n\n// writeParquetArchiveStream writes rows from a channel to a Parquet file with Zstd compression in batches.\nfunc writeParquetArchiveStream(filename string, rowChan <-chan *ParquetMetricRow) (int, error) {\n\tif err := os.MkdirAll(filepath.Dir(filename), CheckpointDirPerms); err != nil {\n\t\tgo func() {\n\t\t\tfor range rowChan {\n\t\t\t}\n\t\t}()\n\t\treturn 0, fmt.Errorf(\"creating archive directory: %w\", err)\n\t}\n\n\tf, err := os.OpenFile(filename, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\tgo func() {\n\t\t\tfor range rowChan {\n\t\t\t}\n\t\t}()\n\t\treturn 0, fmt.Errorf(\"creating parquet file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriterSize(f, 1<<20) // 1MB write buffer\n\n\twriter := pq.NewGenericWriter[ParquetMetricRow](bw,\n\t\tpq.Compression(&pq.Zstd),\n\t\tpq.SortingWriterConfig(pq.SortingColumns(\n\t\t\tpq.Ascending(\"cluster\"),\n\t\t\tpq.Ascending(\"hostname\"),\n\t\t\tpq.Ascending(\"metric\"),\n\t\t\tpq.Ascending(\"timestamp\"),\n\t\t)),\n\t)\n\n\tbatchSize := 4096\n\tbatch := make([]ParquetMetricRow, 0, batchSize)\n\trowCount := 0\n\tvar writeErr error\n\n\tfor rowPtr := range rowChan {\n\t\tif writeErr != nil {\n\t\t\tcontinue // Drain the channel to prevent worker deadlock\n\t\t}\n\t\tbatch = append(batch, *rowPtr)\n\t\tif len(batch) >= batchSize {\n\t\t\tif _, err := writer.Write(batch); err != nil {\n\t\t\t\twriteErr = fmt.Errorf(\"writing parquet batch: %w\", err)\n\t\t\t}\n\t\t\trowCount += len(batch)\n\t\t\tbatch = batch[:0]\n\t\t}\n\t}\n\n\tif writeErr != nil {\n\t\treturn rowCount, writeErr\n\t}\n\n\tif len(batch) > 0 {\n\t\tif _, err := writer.Write(batch); err != nil {\n\t\t\treturn rowCount, fmt.Errorf(\"writing remaining parquet batch: %w\", err)\n\t\t}\n\t\trowCount += len(batch)\n\t}\n\n\tif err := writer.Close(); err != nil {\n\t\treturn rowCount, fmt.Errorf(\"closing parquet writer: %w\", err)\n\t}\n\n\tif err := bw.Flush(); err != nil {\n\t\treturn rowCount, fmt.Errorf(\"flushing parquet file: %w\", err)\n\t}\n\n\treturn rowCount, nil\n}\n\n// loadCheckpointFileFromDisk reads a JSON or binary checkpoint file and returns\n// a CheckpointFile. Used by the Parquet archiver to read checkpoint data\n// before converting it to Parquet format.\nfunc loadCheckpointFileFromDisk(filename string) (*CheckpointFile, error) {\n\tf, err := os.Open(filename)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer f.Close()\n\n\text := filepath.Ext(filename)\n\tswitch ext {\n\tcase \".json\":\n\t\tcf := &CheckpointFile{}\n\t\tbr := bufio.NewReader(f)\n\t\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"decoding JSON checkpoint %s: %w\", filename, err)\n\t\t}\n\t\treturn cf, nil\n\n\tcase \".bin\":\n\t\tbr := bufio.NewReader(f)\n\t\tvar magic uint32\n\t\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading magic from %s: %w\", filename, err)\n\t\t}\n\t\tif magic != snapFileMagic {\n\t\t\treturn nil, fmt.Errorf(\"invalid snapshot magic in %s: 0x%08X\", filename, magic)\n\t\t}\n\t\tvar fileFrom, fileTo int64\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading from-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading to-timestamp from %s: %w\", filename, err)\n\t\t}\n\t\tcf, err := readBinaryLevel(br)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"reading binary level from %s: %w\", filename, err)\n\t\t}\n\t\tcf.From = fileFrom\n\t\tcf.To = fileTo\n\t\treturn cf, nil\n\n\tdefault:\n\t\treturn nil, fmt.Errorf(\"unsupported checkpoint extension: %s\", ext)\n\t}\n}\n\n// archiveCheckpointsToParquet reads checkpoint files for a host directory,\n// converts them to Parquet rows. Returns the filenames that were processed.\nfunc archiveCheckpointsToParquet(dir, cluster, host string, from int64, rowChan chan<- *ParquetMetricRow) ([]string, error) {\n\tentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tfiles, err := findFiles(entries, from, false)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif len(files) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfor _, checkpoint := range files {\n\t\tfilename := filepath.Join(dir, checkpoint)\n\t\tcf, err := loadCheckpointFileFromDisk(filename)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> skipping unreadable checkpoint %s: %v\", filename, err)\n\t\t\tcontinue\n\t\t}\n\n\t\tflattenCheckpointFile(cf, cluster, host, \"node\", \"\", rowChan)\n\t}\n\n\treturn files, nil\n}\n","numLines":244,"startLine":1,"totalLines":244}},"sourceToolAssistantUUID":"98c39255-0c74-4b80-bb95-b89ce1fcdb14","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"70268700-0562-475c-9bb1-8ac1d78195a4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XwUMDjqMRQDnzKopuDkkZb","type":"message","role":"assistant","content":[{"type":"text","text":"Two different approaches to the same problem. Here's how they compare:\n\n## Architecture: Batch-per-host (ours) vs Channel-streaming (tmp)\n\n### `flattenCheckpointFile`\n\n| | Ours (hotfix) | tmp |\n|---|---|---|\n| **Signature** | `(..., rows []ParquetMetricRow) []ParquetMetricRow` | `(..., rowChan chan<- *ParquetMetricRow)` |\n| **Mechanism** | Appends to a slice, returns it | Sends `*ParquetMetricRow` pointers to a channel |\n| **Allocation** | Struct values in a contiguous slice | One heap-allocated pointer per row |\n\n### Writer\n\n| | Ours (`parquetArchiveWriter`) | tmp (`writeParquetArchiveStream`) |\n|---|---|---|\n| **API** | Struct with `WriteHostRows()` + `Close()` | Single function consuming `<-chan *ParquetMetricRow` |\n| **SortingWriterConfig** | Removed | **Still present** (lines 116-121) |\n| **Row groups** | One per host (explicit `Flush()`) | One big row group (only `Close()` at end) |\n| **Sorting** | Pre-sorted in-place per host via `sort.Slice` | Delegated to `SortingWriterConfig` internally |\n| **Batching** | Entire host's rows at once | Fixed 4096-row batches from channel |\n\n### `archiveCheckpointsToParquet`\n\n| | Ours | tmp |\n|---|---|---|\n| **Returns** | `([]ParquetMetricRow, []string, error)` — rows + files | `([]string, error)` — files only |\n| **Pre-allocation** | `estimateRowCount()` → `make([]ParquetMetricRow, 0, n)` | No pre-allocation (rows go through channel) |\n| **Two-pass loading** | Yes: load all checkpoints, estimate, then flatten | No: single pass, streams directly to channel |\n\n## Key Differences\n\n**1. The tmp version still has the `SortingWriterConfig` problem.** It batches 4096 rows at a time into `writer.Write()`, but `SortingWriterConfig` buffers ALL written rows internally until `writer.Close()`. So despite the channel streaming, the sorting writer still accumulates every row in memory — the memory fix is incomplete.\n\n**2. Per-row heap allocation in tmp.** Each row is `&ParquetMetricRow{...}` sent as a pointer through the channel. For millions of rows this creates significant GC pressure vs our approach of contiguous slice values.\n\n**3. Our version creates proper row groups.** Each `WriteHostRows()` + `Flush()` creates a separate Parquet row group per host, enabling row-group skipping on read. The tmp version produces one monolithic row group.\n\n**4. Error handling on early failure.** The tmp version spawns goroutines to drain the channel if `MkdirAll` or `OpenFile` fails (lines 95-98, 104-107). Our version avoids this by opening the writer before starting workers (in `archive.go`).\n\n**5. Our version has `estimateRowCount` + pre-allocation** to avoid append doubling. The tmp version doesn't need this (no slice accumulation) but trades it for per-row channel send overhead.\n\n## Bottom line\n\nThe tmp version streams row-by-row through a channel (good for decoupling producer/consumer) but **defeats its own purpose** by keeping `SortingWriterConfig`, which buffers everything internally anyway. Our version removes `SortingWriterConfig`, pre-sorts per host, and writes proper row groups — actually solving the memory problem."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7494,"cache_read_input_tokens":62663,"output_tokens":902,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7494,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9u36c2znfXfmD5yRam8","type":"assistant","uuid":"d8ffe716-42f7-4544-a617-bf35bbbd6a16","timestamp":"2026-03-18T04:16:14.406Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} 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separate row group to avoid accumulating\n 172→// all data in memory at once.\n 173→func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n 174→\tclusterEntries, err := os.ReadDir(checkpointsDir)\n 175→\tif err != nil {\n 176→\t\treturn 0, err\n 177→\t}\n 178→\n 179→\ttotalFiles := 0\n 180→\n 181→\tfor _, clusterEntry := range clusterEntries {\n 182→\t\tif !clusterEntry.IsDir() {\n 183→\t\t\tcontinue"}]},"uuid":"703098bc-2a3f-4498-8b31-fe9201d9332a","timestamp":"2026-03-18T04:20:50.737Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","content":"// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue","numLines":15,"startLine":169,"totalLines":305}},"sourceToolAssistantUUID":"cd4c5776-110c-426a-bf4e-4e1ce43b3bbf","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"703098bc-2a3f-4498-8b31-fe9201d9332a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QMQfLUe8VSdNVvDpV2ZXoX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QcYz7wBKAK4AU47MGCEh8q","name":"Read","input":{"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","offset":1,"limit":20},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1394,"cache_read_input_tokens":70157,"output_tokens":109,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1394,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9uRRs2Q5zpizLguw9QB","type":"assistant","uuid":"401a36ae-a27f-49a1-aaae-ad04148e1c8c","timestamp":"2026-03-18T04:20:54.675Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"401a36ae-a27f-49a1-aaae-ad04148e1c8c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QcYz7wBKAK4AU47MGCEh8q","toolUseID":"toolu_01QcYz7wBKAK4AU47MGCEh8q","timestamp":"2026-03-18T04:20:54.683Z","uuid":"9b0598fe-5aec-4df7-b4b3-93d13b5601ff","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"401a36ae-a27f-49a1-aaae-ad04148e1c8c","isSidechain":false,"promptId":"8835882f-3d20-4b11-8add-b7da12babf98","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QcYz7wBKAK4AU47MGCEh8q","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"sync\"\n 15→\t\"sync/atomic\"\n 16→\t\"time\"\n 17→\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→)\n 20→"}]},"uuid":"b892cd26-34d0-4ab3-bd7d-b496aac47722","timestamp":"2026-03-18T04:20:54.683Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n","numLines":20,"startLine":1,"totalLines":305}},"sourceToolAssistantUUID":"401a36ae-a27f-49a1-aaae-ad04148e1c8c","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"b892cd26-34d0-4ab3-bd7d-b496aac47722","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011QHPDvr61dGVNT6ZinaFvW","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `time` is already imported."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":326,"cache_read_input_tokens":71551,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":326},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ9uRijnSEgHr9sV7r6mt","type":"assistant","uuid":"3196d9cf-0a40-4dae-aeef-374faae2b89e","timestamp":"2026-03-18T04:20:57.366Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"3196d9cf-0a40-4dae-aeef-374faae2b89e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011QHPDvr61dGVNT6ZinaFvW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GZB71DX8TfCL6wQyPMCzsQ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","old_string":"func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0","new_string":"func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":326,"cache_read_input_tokens":71551,"output_tokens":294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":326,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ9uRijnSEgHr9sV7r6mt","type":"assistant","uuid":"732b7b7e-93bb-4c15-821c-6f3e1731e33a","timestamp":"2026-03-18T04:20:59.740Z","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"732b7b7e-93bb-4c15-821c-6f3e1731e33a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01GZB71DX8TfCL6wQyPMCzsQ","toolUseID":"toolu_01GZB71DX8TfCL6wQyPMCzsQ","timestamp":"2026-03-18T04:21:04.318Z","uuid":"96a8ea6c-147a-4e93-8b3d-de62721d5f56","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"732b7b7e-93bb-4c15-821c-6f3e1731e33a","isSidechain":false,"promptId":"8835882f-3d20-4b11-8add-b7da12babf98","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GZB71DX8TfCL6wQyPMCzsQ","type":"tool_result","content":"The file /Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go has been updated successfully."}]},"uuid":"3e96d1aa-26de-4140-9b43-2ee8dfeb0ae6","timestamp":"2026-03-18T04:21:04.318Z","toolUseResult":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","oldString":"func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0","newString":"func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir string\n\t\tcluster, host string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost: de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir string // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, nil\n}\n","structuredPatch":[{"oldStart":171,"oldLines":6,"newStart":171,"newLines":9,"lines":[" // Each host's rows are written as a separate row group to avoid accumulating"," // all data in memory at once."," func archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {","+ cclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")","+ startTime := time.Now()","+"," clusterEntries, err := os.ReadDir(checkpointsDir)"," if err != nil {"," return 0, err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"732b7b7e-93bb-4c15-821c-6f3e1731e33a","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} +{"parentUuid":"3e96d1aa-26de-4140-9b43-2ee8dfeb0ae6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019dz1BGkM3A8M4s2L1RAJjz","type":"message","role":"assistant","content":[{"type":"text","text":"Now read the end of the function to add the timing log before the 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== 0 {\n 280→\t\t\t// No data written — remove empty file\n 281→\t\t\tos.Remove(parquetFile)\n 282→\t\t\tcontinue\n 283→\t\t}\n 284→"}]},"uuid":"4c886825-c7d0-4c3d-a3c1-17db77a94ad8","timestamp":"2026-03-18T04:21:08.312Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","content":"\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n","numLines":10,"startLine":275,"totalLines":308}},"sourceToolAssistantUUID":"cdc4ba78-3e53-4272-8dc9-4212ed98f87c","userType":"external","cwd":"/Users/jan/prg/CC/cc-backend","sessionId":"0943a044-b17e-4215-8591-c1a0c816ddf0","version":"2.1.76","gitBranch":"hotfix","slug":"shimmering-wandering-flurry"} 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299→\t\t\t}\n 300→\t\t}\n 301→\n 302→\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n 303→\t\t\twriter.count, totalFiles, cluster, parquetFile)\n 304→\t}"}]},"uuid":"7a2a041d-f8d0-49da-b65c-1ffbedf159c8","timestamp":"2026-03-18T04:21:11.325Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/CC/cc-backend/pkg/metricstore/archive.go","content":"\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n)\n\n// Worker for either Archiving or Deleting files\n\nfunc CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n\tif Keys.Cleanup.Mode == \"archive\" {\n\t\t// Run as Archiver\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"archiving\",\n\t\t\tKeys.Cleanup.RootDir,\n\t\t\tfalse,\n\t\t)\n\t} else {\n\t\t// Run as Deleter\n\t\tcleanUpWorker(wg, ctx,\n\t\t\tKeys.RetentionInMemory,\n\t\t\t\"deleting\",\n\t\t\t\"\",\n\t\t\ttrue,\n\t\t)\n\t}\n}\n\n// cleanUpWorker takes simple values to configure what it does\nfunc cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n\twg.Go(func() {\n\n\t\td, err := time.ParseDuration(interval)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tt := time.Now().Add(-d)\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n\n\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tif delete {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\nvar ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n\n// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n// When archiving, consolidates all hosts per cluster into a single Parquet file.\nfunc CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n\tif deleteInstead {\n\t\treturn deleteCheckpoints(checkpointsDir, from)\n\t}\n\n\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n}\n\n// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\nfunc deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n\tentries1, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttype workItem struct {\n\t\tdir string\n\t\tcluster, host string\n\t}\n\n\tvar wg sync.WaitGroup\n\tn, errs := int32(0), int32(0)\n\twork := make(chan workItem, Keys.NumWorkers)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor item := range work {\n\t\t\t\tentries, err := os.ReadDir(item.dir)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfiles, err := findFiles(entries, from, false)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tfor _, checkpoint := range files {\n\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor _, de1 := range entries1 {\n\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n\t\tif e != nil {\n\t\t\terr = e\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, de2 := range entries2 {\n\t\t\twork <- workItem{\n\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),\n\t\t\t\tcluster: de1.Name(),\n\t\t\t\thost: de2.Name(),\n\t\t\t}\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"%d errors happened while deleting (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// archiveCheckpoints archives checkpoint files to Parquet format.\n// Produces one Parquet file per cluster: //.parquet\n// Each host's rows are written as a separate row group to avoid accumulating\n// all data in memory at once.\nfunc archiveCheckpoints(checkpointsDir, cleanupDir string, from int64) (int, error) {\n\tcclog.Info(\"[METRICSTORE]> start archiving checkpoints to parquet\")\n\tstartTime := time.Now()\n\n\tclusterEntries, err := os.ReadDir(checkpointsDir)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\ttotalFiles := 0\n\n\tfor _, clusterEntry := range clusterEntries {\n\t\tif !clusterEntry.IsDir() {\n\t\t\tcontinue\n\t\t}\n\n\t\tcluster := clusterEntry.Name()\n\t\thostEntries, err := os.ReadDir(filepath.Join(checkpointsDir, cluster))\n\t\tif err != nil {\n\t\t\treturn totalFiles, err\n\t\t}\n\n\t\t// Stream per-host rows to parquet writer via worker pool\n\t\ttype hostResult struct {\n\t\t\trows []ParquetMetricRow\n\t\t\tfiles []string // checkpoint filenames to delete after successful write\n\t\t\tdir string // checkpoint directory for this host\n\t\t}\n\n\t\tresults := make(chan hostResult, len(hostEntries))\n\t\twork := make(chan struct {\n\t\t\tdir, host string\n\t\t}, Keys.NumWorkers)\n\n\t\tvar wg sync.WaitGroup\n\t\terrs := int32(0)\n\n\t\twg.Add(Keys.NumWorkers)\n\t\tfor w := 0; w < Keys.NumWorkers; w++ {\n\t\t\tgo func() {\n\t\t\t\tdefer wg.Done()\n\t\t\t\tfor item := range work {\n\t\t\t\t\trows, files, err := archiveCheckpointsToParquet(item.dir, cluster, item.host, from)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error reading checkpoints for %s/%s: %s\", cluster, item.host, err.Error())\n\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tif len(rows) > 0 {\n\t\t\t\t\t\tresults <- hostResult{rows: rows, files: files, dir: item.dir}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}()\n\t\t}\n\n\t\tgo func() {\n\t\t\tfor _, hostEntry := range hostEntries {\n\t\t\t\tif !hostEntry.IsDir() {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tdir := filepath.Join(checkpointsDir, cluster, hostEntry.Name())\n\t\t\t\twork <- struct {\n\t\t\t\t\tdir, host string\n\t\t\t\t}{dir: dir, host: hostEntry.Name()}\n\t\t\t}\n\t\t\tclose(work)\n\t\t\twg.Wait()\n\t\t\tclose(results)\n\t\t}()\n\n\t\t// Open streaming writer and write each host's rows as a row group\n\t\tparquetFile := filepath.Join(cleanupDir, cluster, fmt.Sprintf(\"%d.parquet\", from))\n\t\twriter, err := newParquetArchiveWriter(parquetFile)\n\t\tif err != nil {\n\t\t\t// Drain results channel to unblock workers\n\t\t\tfor range results {\n\t\t\t}\n\t\t\treturn totalFiles, fmt.Errorf(\"creating parquet writer for cluster %s: %w\", cluster, err)\n\t\t}\n\n\t\ttype deleteItem struct {\n\t\t\tdir string\n\t\t\tfiles []string\n\t\t}\n\t\tvar toDelete []deleteItem\n\t\twriteErr := error(nil)\n\n\t\tfor r := range results {\n\t\t\tif writeErr == nil {\n\t\t\t\tsortParquetRows(r.rows)\n\t\t\t\tif err := writer.WriteHostRows(r.rows); err != nil {\n\t\t\t\t\twriteErr = err\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Always track files for deletion (even if write failed, we still drain)\n\t\t\ttoDelete = append(toDelete, deleteItem{dir: r.dir, files: r.files})\n\t\t}\n\n\t\tif err := writer.Close(); err != nil && writeErr == nil {\n\t\t\twriteErr = err\n\t\t}\n\n\t\tif errs > 0 {\n\t\t\treturn totalFiles, fmt.Errorf(\"%d errors reading checkpoints for cluster %s\", errs, cluster)\n\t\t}\n\n\t\tif writer.count == 0 {\n\t\t\t// No data written — remove empty file\n\t\t\tos.Remove(parquetFile)\n\t\t\tcontinue\n\t\t}\n\n\t\tif writeErr != nil {\n\t\t\tos.Remove(parquetFile)\n\t\t\treturn totalFiles, fmt.Errorf(\"writing parquet archive for cluster %s: %w\", cluster, writeErr)\n\t\t}\n\n\t\t// Delete archived checkpoint files\n\t\tfor _, item := range toDelete {\n\t\t\tfor _, file := range item.files {\n\t\t\t\tfilename := filepath.Join(item.dir, file)\n\t\t\t\tif err := os.Remove(filename); err != nil {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> could not remove archived checkpoint %s: %v\", filename, err)\n\t\t\t\t} else {\n\t\t\t\t\ttotalFiles++\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"[METRICSTORE]> archived %d rows from %d files for cluster %s to %s\",\n\t\t\twriter.count, totalFiles, cluster, parquetFile)\n\t}\n\n\treturn totalFiles, 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/dev/null +++ b/bf/29af79b268/0/metadata.json @@ -0,0 +1,30 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "bf29af79b268", + "session_id": "0943a044-b17e-4215-8591-c1a0c816ddf0", + "strategy": "manual-commit", + "created_at": "2026-03-18T04:22:41.042241Z", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "pkg/metricstore/archive.go" + ], + "agent": "Claude Code", + "turn_id": "4178691e07bd", + "token_usage": { + "input_tokens": 38, + "cache_creation_tokens": 101668, + "cache_read_tokens": 1392819, + "output_tokens": 11761, + "api_call_count": 28 + }, + "initial_attribution": { + "calculated_at": "2026-03-18T04:22:40.9438Z", + "agent_lines": 4, + "human_added": 0, + "human_modified": 0, + "human_removed": 0, + "total_committed": 4, + "agent_percentage": 100 + } +} diff --git a/bf/29af79b268/0/prompt.txt b/bf/29af79b268/0/prompt.txt new file mode 100644 index 00000000..b0970f13 --- /dev/null +++ b/bf/29af79b268/0/prompt.txt @@ -0,0 +1,113 @@ +Implement the following plan: + +# Fix: Memory Escalation in flattenCheckpointFile (68GB+) + +## Context + +Production gops shows `flattenCheckpointFile` allocating 68GB+ (74.89% of memory). The archiving pipeline accumulates ALL metric data from ALL hosts into a single `[]ParquetMetricRow` slice before writing to Parquet. For large HPC clusters this is catastrophic. Additionally, the `SortingWriterConfig` in the parquet writer buffers everything again internally. + +## Root Cause + +Two-layer unbounded accumulation: + +1. **`archive.go:239-242`**: `allRows = append(allRows, r.rows...)` merges every host's rows into one giant slice +2. **`parquetArchive.go:108-116`**: `SortingWriterConfig` creates a sorting writer that buffers ALL rows until `Close()` +3. **`parquetArchive.go:199`**: `var rows []ParquetMetricRow` starts at zero capacity, grows via append doubling + +Peak memory = (all hosts' rows) + (sorting writer copy) + (append overhead) = ~3x raw data size. + +## Fix: Stream per-host to parquet writer + +Instead of accumulating all rows, write each host's data as a separate row group. + +### Step 1: Add streaming parquet writer (`parquetArchive.go`) + +Replace `writeParquetArchive(filename, rows)` with a struct that supports incremental writes: + +```go +type parquetArchiveWriter struct { + writer *pq.GenericWriter[ParquetMetricRow] + bw *bufio.Writer + f *os.File + count int +} + +func newParquetArchiveWriter(filename string) (*parquetArchiveWriter, error) +func (w *parquetArchiveWriter) WriteHostRows(rows []ParquetMetricRow) error // Write + Flush (creates row group) +func (w *parquetArchiveWriter) Close() error +``` + +- **Remove `SortingWriterConfig`** - no global sort buffer +- Sort each host's rows in-place with `sort.Slice` before writing (cheap: single host data) +- Each `Flush()` creates a separate row group per host + +### Step 2: Add row count estimation (`parquetArchive.go`) + +```go +func estimateRowCount(cf *CheckpointFile) int +``` + +Pre-allocate `rows` slice in `archiveCheckpointsToParquet` to avoid append doubling per host. + +### Step 3: Restructure `archiveCheckpoints` (`archive.go`) + +Change from: +``` +workers → channel → accumulate allRows → writeParquetArchive(allRows) +``` + +To: +``` +open writer → workers → channel → for each host: sort rows, writer.WriteHostRows(rows) → close writer +``` + +- Only one host's rows in memory at a time +- Track `files`/`dir` for deletion separately (don't retain rows) +- Check `writer.count > 0` instead of `len(allRows) == 0` + +### Step 4: Update test (`parquetArchive_test.go`) + +- `TestParquetArchiveRoundtrip`: use new streaming writer API +- Keep `archiveCheckpointsToParquet` returning rows (it's per-host, manageable size) + +## Files to Modify + +- **`pkg/metricstore/parquetArchive.go`**: Add `parquetArchiveWriter`, `estimateRowCount`; remove `writeParquetArchive`; add `"sort"` import +- **`pkg/metricstore/archive.go`**: Restructure `archiveCheckpoints` to stream +- **`pkg/metricstore/parquetArchive_test.go`**: Update roundtrip test + +## Memory Impact + +- **Before**: All hosts in memory (~40GB for 256 nodes) + sorting buffer (~40GB) = 68GB+ +- **After**: One host at a time (~16MB) + parquet page buffer (~1MB) = ~17MB peak + +## Sorting Tradeoff + +The output changes from one globally-sorted row group to N row groups (one per host), each internally sorted by (metric, timestamp). This is actually better for ClusterCockpit's per-host query patterns (enables row group skipping). + +## Verification + +```bash +go test -v ./pkg/metricstore/... +``` + +Also verify with `go vet ./pkg/metricstore/...` for correctness. + + +If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-CC-cc-backend/71340843-de3d-4e83-9dcb-2fc130c50e0d.jsonl + +--- + +Are the any other cases with memory spikes using the Parquet Writer, e.g. in the nodestate retention? + +--- + +[Request interrupted by user for tool use] + +--- + +Compare the archive writer implementation with @~/tmp/cc-backend/pkg/metricstore/parquetArchive.go . Compare and explain differences. + +--- + +Add an Info logmessage in archiveCheckpoints that archving started and provide timing information how long it took. \ No newline at end of file diff --git a/bf/29af79b268/metadata.json b/bf/29af79b268/metadata.json new file mode 100644 index 00000000..70520f78 --- /dev/null +++ b/bf/29af79b268/metadata.json @@ -0,0 +1,26 @@ +{ + "cli_version": "0.4.8", + "checkpoint_id": "bf29af79b268", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "pkg/metricstore/archive.go" + ], + "sessions": [ + { + "metadata": "/bf/29af79b268/0/metadata.json", + "transcript": "/bf/29af79b268/0/full.jsonl", + "context": "/bf/29af79b268/0/context.md", + "content_hash": "/bf/29af79b268/0/content_hash.txt", + "prompt": "/bf/29af79b268/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 38, + "cache_creation_tokens": 101668, + "cache_read_tokens": 1392819, + "output_tokens": 11761, + "api_call_count": 28 + } +}